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fix: use company currency instead of global default in report (backport #56561)
Reports like Sales Order Trends and Purchase Order Trends showed the global default currency symbol instead of the transacting company's currency. Threads the company currency through conditions["company_currency"] in trends.get_columns and uses it for both the chart's currency and the Total row. The chart now skips the grand-total row by its label instead of by a falsy first periodic cell, so the already-summed Total row is not added into the datapoints a second time. Backport of #56561 (frappe/erpnext). Two parts of the original PR are not included: the Landed Cost Report does not exist on this branch, and the trends report test files do not exist either.
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@@ -73,6 +73,7 @@ def execute(filters=None):
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"parent_section": None,
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"indent": 0.0,
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"section": cash_flow_section["section_header"],
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"currency": company_currency,
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}
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)
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@@ -227,6 +227,7 @@ def get_data_when_grouped_by_invoice(columns, gross_profit_data, filters, group_
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)
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if total_base_amount
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else 0,
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"currency": filters.currency,
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}
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)
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)
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@@ -269,6 +270,7 @@ def get_data_when_not_grouped_by_invoice(gross_profit_data, filters, group_wise_
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"buying_amount": total_buying_amount,
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"gross_profit": total_gross_profit,
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"gross_profit_percent": flt(gross_profit_percent, currency_precision),
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"currency": filters.currency,
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}
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total_row = [total_row.get(col, None) for col in [*group_columns, "currency"]]
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@@ -14,7 +14,6 @@ def execute(filters=None):
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conditions = get_columns(filters, "Purchase Order")
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data = get_data(filters, conditions)
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chart_data = get_chart_data(data, conditions, filters)
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return conditions["columns"], data, None, chart_data
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@@ -39,9 +38,15 @@ def get_chart_data(data, conditions, filters):
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labels = [column.split(":")[0] for column in columns]
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datapoints = [0] * len(labels)
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group_by_col_idx = None
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if filters.get("group_by"):
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group_by_col_idx = conditions["columns"].index(conditions["grbc"][0])
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for row in data:
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# If group by filter, don't add first row of group (it's already summed)
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if not row[start]:
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# Skip the final grand-total row
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if row[0] == f"'{_('Total')}'":
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continue
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if group_by_col_idx is not None and row[group_by_col_idx] == "":
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continue
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# Remove None values and compute only periodic data
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row = [x if x else 0 for x in row[start:-2]]
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@@ -60,4 +65,6 @@ def get_chart_data(data, conditions, filters):
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"type": "line",
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"lineOptions": {"regionFill": 1},
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"fieldtype": "Currency",
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"options": "currency",
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"currency": conditions.get("company_currency"),
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}
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@@ -6,6 +6,7 @@ import frappe
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from frappe import _
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from frappe.utils import DateTimeLikeObject, getdate, today
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import erpnext
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from erpnext.accounts.utils import get_fiscal_year
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@@ -42,6 +43,9 @@ def get_columns(filters, trans):
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"addl_tables": based_on_details["addl_tables"],
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"addl_tables_relational_cond": based_on_details.get("addl_tables_relational_cond", ""),
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}
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conditions["company_currency"] = (
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erpnext.get_company_currency(filters.get("company")) if filters.get("company") else None
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)
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return conditions
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@@ -206,7 +210,7 @@ def get_data(filters, conditions):
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data.append(des)
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total_row = calculate_total_row(data1, conditions["columns"])
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total_row = calculate_total_row(data1, conditions["columns"], conditions.get("company_currency"))
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data.append(total_row)
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else:
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data = frappe.db.sql(
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@@ -231,20 +235,23 @@ def get_data(filters, conditions):
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as_list=1,
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)
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total_row = calculate_total_row(data, conditions["columns"])
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total_row = calculate_total_row(data, conditions["columns"], conditions.get("company_currency"))
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data.append(total_row)
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return data
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def calculate_total_row(data, columns):
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def calculate_total_row(data, columns, company_currency=None):
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def wrap_in_quotes(label):
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return f"'{label}'"
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total_values = {}
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currency_col_idx = None
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for i, col in enumerate(columns):
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if "Float" in col or "Currency/currency" in col:
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total_values[i] = 0
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if "Link/Currency" in col:
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currency_col_idx = i
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for row in data:
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for i in total_values.keys():
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@@ -254,6 +261,9 @@ def calculate_total_row(data, columns):
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for i in range(1, len(columns)):
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total_row.append(total_values.get(i, None))
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if currency_col_idx is not None:
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total_row[currency_col_idx] = company_currency
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return total_row
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@@ -1,7 +1,6 @@
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# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
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# License: GNU General Public License v3. See license.txt
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from frappe import _
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from erpnext.controllers.trends import get_columns, get_data
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@@ -40,9 +39,15 @@ def get_chart_data(data, conditions, filters):
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labels = [column.split(":")[0] for column in columns]
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datapoints = [0] * len(labels)
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group_by_col_idx = None
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if filters.get("group_by"):
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group_by_col_idx = conditions["columns"].index(conditions["grbc"][0])
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for row in data:
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# If group by filter, don't add first row of group (it's already summed)
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if not row[start]:
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# Skip the final grand-total row
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if row[0] == f"'{_('Total')}'":
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continue
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if group_by_col_idx is not None and row[group_by_col_idx] == "":
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continue
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# Remove None values and compute only periodic data
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row = [x if x else 0 for x in row[start:-2]]
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@@ -59,4 +64,6 @@ def get_chart_data(data, conditions, filters):
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"type": "line",
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"lineOptions": {"regionFill": 1},
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"fieldtype": "Currency",
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"options": "currency",
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"currency": conditions.get("company_currency"),
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}
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@@ -39,9 +39,15 @@ def get_chart_data(data, conditions, filters):
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labels = [column.split(":")[0] for column in columns]
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datapoints = [0] * len(labels)
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group_by_col_idx = None
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if filters.get("group_by"):
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group_by_col_idx = conditions["columns"].index(conditions["grbc"][0])
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for row in data:
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# If group by filter, don't add first row of group (it's already summed)
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if not row[start]:
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# Skip the final grand-total row
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if row[0] == f"'{_('Total')}'":
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continue
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if group_by_col_idx is not None and row[group_by_col_idx] == "":
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continue
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# Remove None values and compute only periodic data
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row = [x if x else 0 for x in row[start:-2]]
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@@ -58,4 +64,6 @@ def get_chart_data(data, conditions, filters):
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"type": "line",
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"lineOptions": {"regionFill": 1},
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"fieldtype": "Currency",
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"options": "currency",
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"currency": conditions.get("company_currency"),
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}
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@@ -14,12 +14,12 @@ def execute(filters=None):
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conditions = get_columns(filters, "Delivery Note")
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data = get_data(filters, conditions)
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chart_data = get_chart_data(data, filters)
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chart_data = get_chart_data(data, conditions, filters)
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return conditions["columns"], data, None, chart_data
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def get_chart_data(data, filters):
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def get_chart_data(data, conditions, filters):
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def wrap_in_quotes(label):
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return f"'{label}'"
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@@ -52,4 +52,6 @@ def get_chart_data(data, filters):
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},
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"type": "bar",
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"fieldtype": "Currency",
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"options": "currency",
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"currency": conditions.get("company_currency"),
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}
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@@ -14,12 +14,12 @@ def execute(filters=None):
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conditions = get_columns(filters, "Purchase Receipt")
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data = get_data(filters, conditions)
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chart_data = get_chart_data(data, filters)
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chart_data = get_chart_data(data, conditions, filters)
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return conditions["columns"], data, None, chart_data
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def get_chart_data(data, filters):
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def get_chart_data(data, conditions, filters):
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def wrap_in_quotes(label):
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return f"'{label}'"
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@@ -53,4 +53,6 @@ def get_chart_data(data, filters):
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"type": "bar",
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"colors": ["#5e64ff"],
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"fieldtype": "Currency",
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"options": "currency",
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"currency": conditions.get("company_currency"),
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}
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