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fix: asset depreciations and balances report correction (#41824)
* fix: asset depreciations and balances report correction
* chore: suppress linter warnings with # nosemgrep
(cherry picked from commit 857c689405)
Co-authored-by: Khushi Rawat <142375893+khushi8112@users.noreply.github.com>
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@@ -69,48 +69,50 @@ def get_asset_categories_for_grouped_by_category(filters):
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condition = ""
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if filters.get("asset_category"):
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condition += " and asset_category = %(asset_category)s"
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# nosemgrep
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return frappe.db.sql(
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f"""
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SELECT asset_category,
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ifnull(sum(case when purchase_date < %(from_date)s then
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case when ifnull(disposal_date, 0) = 0 or disposal_date >= %(from_date)s then
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gross_purchase_amount
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SELECT a.asset_category,
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ifnull(sum(case when a.purchase_date < %(from_date)s then
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case when ifnull(a.disposal_date, 0) = 0 or a.disposal_date >= %(from_date)s then
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a.gross_purchase_amount
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else
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0
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end
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else
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0
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end), 0) as cost_as_on_from_date,
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ifnull(sum(case when purchase_date >= %(from_date)s then
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gross_purchase_amount
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ifnull(sum(case when a.purchase_date >= %(from_date)s then
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a.gross_purchase_amount
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else
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0
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end), 0) as cost_of_new_purchase,
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ifnull(sum(case when ifnull(disposal_date, 0) != 0
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and disposal_date >= %(from_date)s
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and disposal_date <= %(to_date)s then
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case when status = "Sold" then
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gross_purchase_amount
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ifnull(sum(case when ifnull(a.disposal_date, 0) != 0
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and a.disposal_date >= %(from_date)s
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and a.disposal_date <= %(to_date)s then
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case when a.status = "Sold" then
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a.gross_purchase_amount
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else
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0
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end
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else
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0
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end), 0) as cost_of_sold_asset,
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ifnull(sum(case when ifnull(disposal_date, 0) != 0
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and disposal_date >= %(from_date)s
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and disposal_date <= %(to_date)s then
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case when status = "Scrapped" then
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gross_purchase_amount
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ifnull(sum(case when ifnull(a.disposal_date, 0) != 0
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and a.disposal_date >= %(from_date)s
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and a.disposal_date <= %(to_date)s then
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case when a.status = "Scrapped" then
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a.gross_purchase_amount
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else
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0
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end
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else
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0
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end), 0) as cost_of_scrapped_asset
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from `tabAsset`
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from `tabAsset` a
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where docstatus=1 and company=%(company)s and purchase_date <= %(to_date)s {condition}
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group by asset_category
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and not exists(select name from `tabAsset Capitalization Asset Item` where asset = a.name)
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group by a.asset_category
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""",
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{
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"to_date": filters.to_date,
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