def get_data(filters):
data = []
items = get_items(filters)
sle = get_stock_ledger_entries(filters, items)
item_details = get_item_details(items, sle, filters)
periodic_data = get_periodic_data(sle, filters)
ranges = get_period_date_ranges(filters)
for dummy, item_data in iteritems(item_details):
row = {
"name": item_data.name,
"item_name": item_data.item_name,
"item_group": item_data.item_group,
"uom": item_data.stock_uom,
"brand": item_data.brand,
}
total = 0
for dummy, end_date in ranges:
period = get_period(end_date, filters)
amount = flt(periodic_data.get(item_data.name, {}).get(period))
row[scrub(period)] = amount
total += amount
row["total"] = total
data.append(row)
return data
def get_data(filters):
data = []
items = get_items(filters)
sle = get_stock_ledger_entries(filters, items)
item_details = get_item_details(items, sle, filters)
periodic_data = get_periodic_data(sle, filters)
ranges = get_period_date_ranges(filters)
for dummy, item_data in item_details.items():
row = {
"name": item_data.name,
"item_name": item_data.item_name,
"item_group": item_data.item_group,
"uom": item_data.stock_uom,
"brand": item_data.brand,
}
total = 0
for dummy, end_date in ranges:
period = get_period(end_date, filters)
period_data = periodic_data.get(item_data.name, {}).get(period)
amount = sum(period_data.values()) if period_data else 0
row[scrub(period)] = amount
total += amount
row["total"] = total
data.append(row)
return data
def execute(filters=None):
if not filters: filters = {}
validate_filters(filters)
columns = get_columns(filters)
items = get_items(filters)
sle = get_stock_ledger_entries(filters, items)
item_map = get_item_details(items, sle, filters)
iwb_map = get_item_warehouse_map(filters, sle)
warehouse_list = get_warehouse_list(filters)
item_ageing = get_fifo_queue(filters)
data = []
item_balance = {}
item_value = {}
for (company, item, warehouse) in sorted(iwb_map):
if not item_map.get(item): continue
row = []
qty_dict = iwb_map[(company, item, warehouse)]
item_balance.setdefault((item, item_map[item]["item_group"]), [])
total_stock_value = 0.00
for wh in warehouse_list:
row += [qty_dict.bal_qty] if wh.name in warehouse else [0.00]
total_stock_value += qty_dict.bal_val if wh.name in warehouse else 0.00
item_balance[(item, item_map[item]["item_group"])].append(row)
item_value.setdefault((item, item_map[item]["item_group"]),[])
item_value[(item, item_map[item]["item_group"])].append(total_stock_value)
# sum bal_qty by item
for (item, item_group), wh_balance in iteritems(item_balance):
if not item_ageing.get(item): continue
total_stock_value = sum(item_value[(item, item_group)])
row = [item, item_group, total_stock_value]
fifo_queue = item_ageing[item]["fifo_queue"]
average_age = 0.00
if fifo_queue:
average_age = get_average_age(fifo_queue, filters["to_date"])
row += [average_age]
bal_qty = [sum(bal_qty) for bal_qty in zip(*wh_balance)]
total_qty = sum(bal_qty)
if len(warehouse_list) > 1:
row += [total_qty]
row += bal_qty
if total_qty > 0:
data.append(row)
elif not filters.get("filter_total_zero_qty"):
data.append(row)
add_warehouse_column(columns, warehouse_list)
return columns, data
def get_data(filters):
data = []
items = get_items(filters)
sle = get_stock_ledger_entries(filters, items)
item_details = get_item_details(items, sle, filters)
periodic_data = get_periodic_data(sle, filters)
ranges = get_period_date_ranges(filters)
today = getdate()
for dummy, item_data in item_details.items():
row = {
"name": item_data.name,
"item_name": item_data.item_name,
"item_group": item_data.item_group,
"uom": item_data.stock_uom,
"brand": item_data.brand,
}
previous_period_value = 0.0
for start_date, end_date in ranges:
period = get_period(end_date, filters)
period_data = periodic_data.get(item_data.name, {}).get(period)
if period_data:
row[scrub(period)] = previous_period_value = sum(
period_data.values())
else:
row[scrub(
period
)] = previous_period_value if today >= start_date else None
data.append(row)
return data
