fix: Stock Analytics Report must consider warehouse during calculation (#26908)
* fix: Stock Analytics Report must consider warehouse during calculation * fix: Brand filter in Stock Analytics (cherry picked from commit 703b081172981833bcf9a1fc5c86517817c3ff32)
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@ -114,14 +114,41 @@ def get_period(posting_date, filters):
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def get_periodic_data(entry, filters):
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"""Structured as:
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Item 1
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- Balance (updated and carried forward):
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- Warehouse A : bal_qty/value
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- Warehouse B : bal_qty/value
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- Jun 2021 (sum of warehouse quantities used in report)
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- Warehouse A : bal_qty/value
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- Warehouse B : bal_qty/value
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- Jul 2021 (sum of warehouse quantities used in report)
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- Warehouse A : bal_qty/value
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- Warehouse B : bal_qty/value
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Item 2
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- Balance (updated and carried forward):
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- Warehouse A : bal_qty/value
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- Warehouse B : bal_qty/value
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- Jun 2021 (sum of warehouse quantities used in report)
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- Warehouse A : bal_qty/value
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- Warehouse B : bal_qty/value
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- Jul 2021 (sum of warehouse quantities used in report)
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- Warehouse A : bal_qty/value
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- Warehouse B : bal_qty/value
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"""
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periodic_data = {}
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for d in entry:
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period = get_period(d.posting_date, filters)
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bal_qty = 0
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# if period against item does not exist yet, instantiate it
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# insert existing balance dict against period, and add/subtract to it
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if periodic_data.get(d.item_code) and not periodic_data.get(d.item_code).get(period):
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periodic_data[d.item_code][period] = periodic_data[d.item_code]['balance']
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if d.voucher_type == "Stock Reconciliation":
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if periodic_data.get(d.item_code):
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bal_qty = periodic_data[d.item_code]["balance"]
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if periodic_data.get(d.item_code) and periodic_data.get(d.item_code).get('balance').get(d.warehouse):
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bal_qty = periodic_data[d.item_code]['balance'][d.warehouse]
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qty_diff = d.qty_after_transaction - bal_qty
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else:
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@ -132,12 +159,12 @@ def get_periodic_data(entry, filters):
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else:
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value = d.stock_value_difference
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periodic_data.setdefault(d.item_code, {}).setdefault(period, 0.0)
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periodic_data.setdefault(d.item_code, {}).setdefault("balance", 0.0)
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periodic_data[d.item_code]["balance"] += value
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periodic_data[d.item_code][period] = periodic_data[d.item_code]["balance"]
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# period-warehouse wise balance
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periodic_data.setdefault(d.item_code, {}).setdefault('balance', {}).setdefault(d.warehouse, 0.0)
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periodic_data.setdefault(d.item_code, {}).setdefault(period, {}).setdefault(d.warehouse, 0.0)
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periodic_data[d.item_code]['balance'][d.warehouse] += value
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periodic_data[d.item_code][period][d.warehouse] = periodic_data[d.item_code]['balance'][d.warehouse]
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return periodic_data
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@ -160,7 +187,8 @@ def get_data(filters):
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total = 0
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for dummy, end_date in ranges:
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period = get_period(end_date, filters)
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amount = flt(periodic_data.get(item_data.name, {}).get(period))
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period_data = periodic_data.get(item_data.name, {}).get(period)
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amount = sum(period_data.values()) if period_data else 0
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row[scrub(period)] = amount
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total += amount
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row["total"] = total
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@ -235,12 +235,15 @@ def filter_items_with_no_transactions(iwb_map, float_precision):
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return iwb_map
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def get_items(filters):
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"Get items based on item code, item group or brand."
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conditions = []
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if filters.get("item_code"):
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conditions.append("item.name=%(item_code)s")
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else:
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if filters.get("item_group"):
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conditions.append(get_item_group_condition(filters.get("item_group")))
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if filters.get("brand"): # used in stock analytics report
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conditions.append("item.brand=%(brand)s")
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items = []
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if conditions:
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