mirror of
https://github.com/frappe/erpnext.git
synced 2026-04-02 06:29:54 +00:00
@@ -28,16 +28,32 @@ frappe.query_reports["BOM Stock Analysis"] = {
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default: false,
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},
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],
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formatter: function (value, row, column, data, default_formatter) {
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formatter(value, row, column, data, default_formatter) {
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if (data && data.bold && column.fieldname === "item") {
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return value ? `<b>${value}</b>` : "";
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}
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value = default_formatter(value, row, column, data);
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if (column.id == "producible_fg_item") {
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if (data["producible_fg_item"] >= data["required_qty"]) {
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value = `<a style='color:green' href="/app/item/${data["producible_fg_item"]}" data-doctype="producible_fg_item">${data["producible_fg_item"]}</a>`;
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} else {
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value = `<a style='color:red' href="/app/item/${data["producible_fg_item"]}" data-doctype="producible_fg_item">${data["producible_fg_item"]}</a>`;
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if (column.fieldname === "difference_qty" && value !== "" && value !== undefined) {
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const numeric = parseFloat(value.replace(/,/g, "")) || 0;
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if (numeric < 0) {
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value = `<span style="color: red">${value}</span>`;
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} else if (numeric > 0) {
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value = `<span style="color: green">${value}</span>`;
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}
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}
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if (data && data.bold) {
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if (column.fieldname === "description" || column.fieldname === "item_name") {
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const qty_to_make = frappe.query_report.get_filter_value("qty_to_make");
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const producible = parseFloat(value) || 0;
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const colour = qty_to_make && producible < qty_to_make ? "red" : "green";
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return `<b style="color: ${colour}">${value}</b>`;
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}
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return `<b>${value}</b>`;
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}
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return value;
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},
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};
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@@ -4,74 +4,101 @@
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import frappe
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from frappe import _
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from frappe.query_builder.functions import Floor, IfNull, Sum
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from frappe.utils import flt, fmt_money
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from frappe.utils.data import comma_and
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from pypika.terms import ExistsCriterion
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def execute(filters=None):
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qty_to_make = filters.get("qty_to_make")
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if qty_to_make:
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if filters.get("qty_to_make"):
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columns = get_columns_with_qty_to_make()
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data = get_data_with_qty_to_make(filters)
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return columns, data
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else:
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data = []
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columns = get_columns_without_qty_to_make()
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bom_data = get_producible_fg_items(filters)
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for row in bom_data:
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data.append(row)
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data = get_data_without_qty_to_make(filters)
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return columns, data
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return columns, data
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def fmt_qty(value):
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"""Format a float quantity for display as a string, so blank rows stay blank."""
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return frappe.utils.fmt_money(value, precision=2, currency=None)
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def fmt_rate(value):
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"""Format a currency rate for display as a string."""
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currency = frappe.defaults.get_global_default("currency")
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return frappe.utils.fmt_money(value, precision=2, currency=currency)
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def get_data_with_qty_to_make(filters):
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data = []
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bom_data = get_bom_data(filters)
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manufacture_details = get_manufacturer_records()
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purchase_rates = batch_fetch_purchase_rates(bom_data)
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qty_to_make = filters.get("qty_to_make")
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data = []
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for row in bom_data:
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required_qty = filters.get("qty_to_make") * row.qty_per_unit
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last_purchase_rate = frappe.db.get_value("Item", row.item_code, "last_purchase_rate")
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qty_per_unit = flt(row.qty_per_unit) if row.qty_per_unit > 0 else 0
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required_qty = qty_to_make * qty_per_unit
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difference_qty = flt(row.actual_qty) - required_qty
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rate = purchase_rates.get(row.item_code, 0)
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data.append(get_report_data(last_purchase_rate, required_qty, row, manufacture_details))
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data.append(
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{
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"item": row.item_code,
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"description": row.description,
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"from_bom_no": row.from_bom_no,
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"manufacturer": comma_and(
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manufacture_details.get(row.item_code, {}).get("manufacturer", []), add_quotes=False
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),
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"manufacturer_part_number": comma_and(
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manufacture_details.get(row.item_code, {}).get("manufacturer_part", []), add_quotes=False
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),
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"qty_per_unit": fmt_qty(qty_per_unit),
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"available_qty": fmt_qty(row.actual_qty),
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"required_qty": fmt_qty(required_qty),
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"difference_qty": fmt_qty(difference_qty),
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"last_purchase_rate": fmt_rate(rate),
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"_available_qty": flt(row.actual_qty),
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"_qty_per_unit": qty_per_unit,
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}
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)
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min_producible = (
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min(int(r["_available_qty"] // r["_qty_per_unit"]) for r in data if r["_qty_per_unit"]) if data else 0
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)
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for row in data:
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row.pop("_available_qty", None)
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row.pop("_qty_per_unit", None)
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# blank spacer row
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data.append({})
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data.append(
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{
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"item": _("Maximum Producible Items"),
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"description": min_producible,
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"from_bom_no": "",
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"manufacturer": "",
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"manufacturer_part_number": "",
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"qty_per_unit": "",
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"available_qty": "",
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"required_qty": "",
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"difference_qty": "",
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"last_purchase_rate": "",
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"bold": 1,
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}
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)
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return data
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def get_report_data(last_purchase_rate, required_qty, row, manufacture_details):
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qty_per_unit = row.qty_per_unit if row.qty_per_unit > 0 else 0
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difference_qty = row.actual_qty - required_qty
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return [
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row.item_code,
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row.description,
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row.from_bom_no,
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comma_and(manufacture_details.get(row.item_code, {}).get("manufacturer", []), add_quotes=False),
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comma_and(manufacture_details.get(row.item_code, {}).get("manufacturer_part", []), add_quotes=False),
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qty_per_unit,
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row.actual_qty,
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required_qty,
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difference_qty,
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last_purchase_rate,
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row.actual_qty // qty_per_unit if qty_per_unit else 0,
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]
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def get_columns_with_qty_to_make():
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return [
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{
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"fieldname": "item",
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"label": _("Item"),
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"fieldtype": "Link",
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"options": "Item",
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"width": 120,
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},
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{
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"fieldname": "description",
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"label": _("Description"),
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"fieldtype": "Data",
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"width": 150,
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},
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{"fieldname": "item", "label": _("Item"), "fieldtype": "Link", "options": "Item", "width": 180},
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{"fieldname": "description", "label": _("Description"), "fieldtype": "Data", "width": 160},
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{
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"fieldname": "from_bom_no",
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"label": _("From BOM No"),
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@@ -79,68 +106,89 @@ def get_columns_with_qty_to_make():
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"options": "BOM",
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"width": 150,
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},
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{
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"fieldname": "manufacturer",
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"label": _("Manufacturer"),
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"fieldtype": "Data",
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"width": 120,
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},
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{"fieldname": "manufacturer", "label": _("Manufacturer"), "fieldtype": "Data", "width": 130},
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{
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"fieldname": "manufacturer_part_number",
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"label": _("Manufacturer Part Number"),
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"fieldtype": "Data",
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"width": 150,
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},
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{
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"fieldname": "qty_per_unit",
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"label": _("Qty Per Unit"),
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"fieldtype": "Float",
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"width": 110,
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},
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{
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"fieldname": "available_qty",
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"label": _("Available Qty"),
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"fieldtype": "Float",
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"width": 120,
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},
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{
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"fieldname": "required_qty",
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"label": _("Required Qty"),
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"fieldtype": "Float",
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"width": 120,
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},
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{
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"fieldname": "difference_qty",
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"label": _("Difference Qty"),
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"fieldtype": "Float",
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"width": 130,
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"width": 170,
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},
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{"fieldname": "qty_per_unit", "label": _("Qty Per Unit"), "fieldtype": "Data", "width": 110},
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{"fieldname": "available_qty", "label": _("Available Qty"), "fieldtype": "Data", "width": 120},
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{"fieldname": "required_qty", "label": _("Required Qty"), "fieldtype": "Data", "width": 120},
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{"fieldname": "difference_qty", "label": _("Difference Qty"), "fieldtype": "Data", "width": 130},
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{
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"fieldname": "last_purchase_rate",
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"label": _("Last Purchase Rate"),
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"fieldtype": "Float",
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"fieldtype": "Data",
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"width": 160,
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},
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{
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"fieldname": "producible_fg_item",
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"label": _("Producible FG Item"),
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"fieldtype": "Float",
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"width": 200,
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},
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]
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def get_data_without_qty_to_make(filters):
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raw_rows = get_producible_fg_items(filters)
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data = []
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for row in raw_rows:
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data.append(
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{
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"item": row[0],
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"description": row[1],
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"from_bom_no": row[2],
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"qty_per_unit": fmt_qty(row[3]),
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"available_qty": fmt_qty(row[4]),
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}
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)
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min_producible = min((row[5] or 0) for row in raw_rows) if raw_rows else 0
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# blank spacer row
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data.append({})
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data.append(
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{
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"item": _("Maximum Producible Items"),
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"description": min_producible,
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"from_bom_no": "",
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"qty_per_unit": "",
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"available_qty": "",
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"bold": 1,
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}
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)
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return data
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def get_columns_without_qty_to_make():
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return [
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_("Item") + ":Link/Item:150",
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_("Item Name") + "::240",
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_("Description") + "::300",
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_("From BOM No") + "::200",
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_("Required Qty") + ":Float:160",
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_("Producible FG Item") + ":Float:200",
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{"fieldname": "item", "label": _("Item"), "fieldtype": "Link", "options": "Item", "width": 180},
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{"fieldname": "description", "label": _("Description"), "fieldtype": "Data", "width": 200},
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{
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"fieldname": "from_bom_no",
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"label": _("From BOM No"),
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"fieldtype": "Link",
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"options": "BOM",
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"width": 160,
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},
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{"fieldname": "qty_per_unit", "label": _("Qty Per Unit"), "fieldtype": "Data", "width": 120},
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{"fieldname": "available_qty", "label": _("Available Qty"), "fieldtype": "Data", "width": 120},
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]
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def batch_fetch_purchase_rates(bom_data):
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if not bom_data:
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return {}
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item_codes = [row.item_code for row in bom_data]
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return {
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r.name: r.last_purchase_rate
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for r in frappe.get_all(
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"Item",
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filters={"name": ["in", item_codes]},
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fields=["name", "last_purchase_rate"],
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)
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}
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def get_bom_data(filters):
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bom_item_table = "BOM Explosion Item" if filters.get("show_exploded_view") else "BOM Item"
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@@ -167,7 +215,6 @@ def get_bom_data(filters):
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warehouse_details = frappe.db.get_value(
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"Warehouse", filters.get("warehouse"), ["lft", "rgt"], as_dict=1
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)
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if warehouse_details:
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wh = frappe.qb.DocType("Warehouse")
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query = query.where(
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@@ -212,7 +259,6 @@ def explode_phantom_boms(data, filters):
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data.pop(idx)
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data[idx:idx] = children
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filters["bom"] = original_bom
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return data
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@@ -220,13 +266,11 @@ def get_manufacturer_records():
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details = frappe.get_all(
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"Item Manufacturer", fields=["manufacturer", "manufacturer_part_no", "item_code"]
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)
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manufacture_details = frappe._dict()
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for detail in details:
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dic = manufacture_details.setdefault(detail.get("item_code"), {})
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dic.setdefault("manufacturer", []).append(detail.get("manufacturer"))
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dic.setdefault("manufacturer_part", []).append(detail.get("manufacturer_part_no"))
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return manufacture_details
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@@ -237,11 +281,11 @@ def get_producible_fg_items(filters):
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WH = frappe.qb.DocType("Warehouse")
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warehouse = filters.get("warehouse")
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warehouse_details = frappe.db.get_value("Warehouse", warehouse, ["lft", "rgt"], as_dict=1)
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if not warehouse:
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frappe.throw(_("Warehouse is required to get producible FG Items"))
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warehouse_details = frappe.db.get_value("Warehouse", warehouse, ["lft", "rgt"], as_dict=1)
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if warehouse_details:
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bin_subquery = (
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frappe.qb.from_(BIN)
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@@ -267,10 +311,10 @@ def get_producible_fg_items(filters):
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.on(BOM_ITEM.item_code == bin_subquery.item_code)
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.select(
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BOM_ITEM.item_code,
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BOM_ITEM.item_name,
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BOM_ITEM.description,
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BOM_ITEM.parent.as_("from_bom_no"),
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(BOM_ITEM.stock_qty / BOM.quantity).as_("qty_per_unit"),
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IfNull(bin_subquery.actual_qty, 0).as_("available_qty"),
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Floor(bin_subquery.actual_qty / ((Sum(BOM_ITEM.stock_qty)) / BOM.quantity)),
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)
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.where((BOM_ITEM.parent == filters.get("bom")) & (BOM_ITEM.parenttype == "BOM"))
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@@ -278,5 +322,4 @@ def get_producible_fg_items(filters):
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.orderby(BOM_ITEM.idx)
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)
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data = query.run(as_list=True)
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return data
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return query.run(as_list=True)
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@@ -1,7 +1,7 @@
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# Copyright (c) 2022, Frappe Technologies Pvt. Ltd. and contributors
|
||||
# Copyright (c) 2026, Frappe Technologies Pvt. Ltd. and contributors
|
||||
# For license information, please see license.txt
|
||||
|
||||
import frappe
|
||||
from frappe.utils import fmt_money
|
||||
|
||||
from erpnext.manufacturing.doctype.production_plan.test_production_plan import make_bom
|
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from erpnext.manufacturing.report.bom_stock_analysis.bom_stock_analysis import (
|
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@@ -11,6 +11,15 @@ from erpnext.stock.doctype.item.test_item import make_item
|
||||
from erpnext.tests.utils import ERPNextTestSuite
|
||||
|
||||
|
||||
def fmt_qty(value):
|
||||
return fmt_money(value, precision=2, currency=None)
|
||||
|
||||
|
||||
def fmt_rate(value):
|
||||
currency = frappe.defaults.get_global_default("currency")
|
||||
return fmt_money(value, precision=2, currency=currency)
|
||||
|
||||
|
||||
class TestBOMStockAnalysis(ERPNextTestSuite):
|
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def setUp(self):
|
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self.fg_item, self.rm_items = create_items()
|
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@@ -20,34 +29,62 @@ class TestBOMStockAnalysis(ERPNextTestSuite):
|
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qty_to_make = 10
|
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|
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# Case 1: When Item(s) Qty and Stock Qty are equal.
|
||||
data = bom_stock_analysis_report(
|
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raw_data = bom_stock_analysis_report(
|
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filters={
|
||||
"qty_to_make": qty_to_make,
|
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"bom": self.boms[0].name,
|
||||
}
|
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)[1]
|
||||
expected_data = get_expected_data(self.boms[0], qty_to_make)
|
||||
self.assertSetEqual(set(tuple(x) for x in data), set(tuple(x) for x in expected_data))
|
||||
|
||||
data, footer = split_data_and_footer(raw_data)
|
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expected_data, expected_min = get_expected_data(self.boms[0], qty_to_make)
|
||||
|
||||
self.assertSetEqual(
|
||||
set(tuple(sorted(r.items())) for r in data),
|
||||
set(tuple(sorted(r.items())) for r in expected_data),
|
||||
)
|
||||
self.assertEqual(footer.get("description"), expected_min)
|
||||
|
||||
# Case 2: When Item(s) Qty and Stock Qty are different and BOM Qty is 1.
|
||||
data = bom_stock_analysis_report(
|
||||
raw_data = bom_stock_analysis_report(
|
||||
filters={
|
||||
"qty_to_make": qty_to_make,
|
||||
"bom": self.boms[1].name,
|
||||
}
|
||||
)[1]
|
||||
expected_data = get_expected_data(self.boms[1], qty_to_make)
|
||||
self.assertSetEqual(set(tuple(x) for x in data), set(tuple(x) for x in expected_data))
|
||||
|
||||
data, footer = split_data_and_footer(raw_data)
|
||||
expected_data, expected_min = get_expected_data(self.boms[1], qty_to_make)
|
||||
|
||||
self.assertSetEqual(
|
||||
set(tuple(sorted(r.items())) for r in data),
|
||||
set(tuple(sorted(r.items())) for r in expected_data),
|
||||
)
|
||||
self.assertEqual(footer.get("description"), expected_min)
|
||||
|
||||
# Case 3: When Item(s) Qty and Stock Qty are different and BOM Qty is greater than 1.
|
||||
data = bom_stock_analysis_report(
|
||||
raw_data = bom_stock_analysis_report(
|
||||
filters={
|
||||
"qty_to_make": qty_to_make,
|
||||
"bom": self.boms[2].name,
|
||||
}
|
||||
)[1]
|
||||
expected_data = get_expected_data(self.boms[2], qty_to_make)
|
||||
self.assertSetEqual(set(tuple(x) for x in data), set(tuple(x) for x in expected_data))
|
||||
|
||||
data, footer = split_data_and_footer(raw_data)
|
||||
expected_data, expected_min = get_expected_data(self.boms[2], qty_to_make)
|
||||
|
||||
self.assertSetEqual(
|
||||
set(tuple(sorted(r.items())) for r in data),
|
||||
set(tuple(sorted(r.items())) for r in expected_data),
|
||||
)
|
||||
self.assertEqual(footer.get("description"), expected_min)
|
||||
|
||||
|
||||
def split_data_and_footer(raw_data):
|
||||
"""Separate component rows from the footer row. Skips blank spacer rows."""
|
||||
data = [row for row in raw_data if row and not row.get("bold")]
|
||||
footer = next((row for row in raw_data if row and row.get("bold")), {})
|
||||
return data, footer
|
||||
|
||||
|
||||
def create_items():
|
||||
@@ -79,7 +116,6 @@ def create_boms(fg_item, rm_items):
|
||||
for item in bom.items:
|
||||
item.uom = uom
|
||||
item.conversion_factor = conversion_factor
|
||||
|
||||
return bom
|
||||
|
||||
bom1 = make_bom(item=fg_item, quantity=1, raw_materials=rm_items, rm_qty=10)
|
||||
@@ -98,22 +134,38 @@ def create_boms(fg_item, rm_items):
|
||||
|
||||
|
||||
def get_expected_data(bom, qty_to_make):
|
||||
"""
|
||||
Returns (component_rows, min_producible).
|
||||
Component rows are dicts matching what the report produces.
|
||||
min_producible is the expected footer value.
|
||||
"""
|
||||
expected_data = []
|
||||
producible_per_item = []
|
||||
|
||||
for idx, bom_item in enumerate(bom.items):
|
||||
qty_per_unit = float(bom_item.stock_qty / bom.quantity)
|
||||
available_qty = float(100 * (idx + 1))
|
||||
required_qty = float(qty_to_make * qty_per_unit)
|
||||
difference_qty = available_qty - required_qty
|
||||
last_purchase_rate = float(100 * (idx + 1))
|
||||
|
||||
for idx in range(len(bom.items)):
|
||||
expected_data.append(
|
||||
[
|
||||
bom.items[idx].item_code,
|
||||
bom.items[idx].item_code,
|
||||
bom.name,
|
||||
"",
|
||||
"",
|
||||
float(bom.items[idx].stock_qty / bom.quantity),
|
||||
float(100 * (idx + 1)),
|
||||
float(qty_to_make * (bom.items[idx].stock_qty / bom.quantity)),
|
||||
float((100 * (idx + 1)) - (qty_to_make * (bom.items[idx].stock_qty / bom.quantity))),
|
||||
float(100 * (idx + 1)),
|
||||
]
|
||||
{
|
||||
"item": bom_item.item_code,
|
||||
"description": bom_item.item_code, # description falls back to item_code in test items
|
||||
"from_bom_no": bom.name,
|
||||
"manufacturer": "",
|
||||
"manufacturer_part_number": "",
|
||||
"qty_per_unit": fmt_qty(qty_per_unit),
|
||||
"available_qty": fmt_qty(available_qty),
|
||||
"required_qty": fmt_qty(required_qty),
|
||||
"difference_qty": fmt_qty(difference_qty),
|
||||
"last_purchase_rate": fmt_rate(last_purchase_rate),
|
||||
}
|
||||
)
|
||||
|
||||
return expected_data
|
||||
producible_per_item.append(int(available_qty // qty_per_unit) if qty_per_unit else 0)
|
||||
|
||||
min_producible = min(producible_per_item) if producible_per_item else 0
|
||||
|
||||
return expected_data, min_producible
|
||||
|
||||
Reference in New Issue
Block a user