252 lines
6.8 KiB
Python
252 lines
6.8 KiB
Python
# 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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import frappe
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from frappe import _
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from frappe.utils import cint, flt
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from erpnext.accounts.report.financial_statements import (
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get_columns,
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get_data,
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get_filtered_list_for_consolidated_report,
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get_period_list,
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)
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def execute(filters=None):
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period_list = get_period_list(
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filters.from_fiscal_year,
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filters.to_fiscal_year,
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filters.period_start_date,
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filters.period_end_date,
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filters.filter_based_on,
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filters.periodicity,
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company=filters.company,
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)
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filters.period_start_date = period_list[0]["year_start_date"]
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currency = filters.presentation_currency or frappe.get_cached_value(
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"Company", filters.company, "default_currency"
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)
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asset = get_data(
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filters.company,
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"Asset",
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"Debit",
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period_list,
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only_current_fiscal_year=False,
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filters=filters,
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accumulated_values=filters.accumulated_values,
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)
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liability = get_data(
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filters.company,
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"Liability",
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"Credit",
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period_list,
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only_current_fiscal_year=False,
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filters=filters,
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accumulated_values=filters.accumulated_values,
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)
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equity = get_data(
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filters.company,
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"Equity",
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"Credit",
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period_list,
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only_current_fiscal_year=False,
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filters=filters,
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accumulated_values=filters.accumulated_values,
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)
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provisional_profit_loss, total_credit = get_provisional_profit_loss(
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asset, liability, equity, period_list, filters.company, currency
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)
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message, opening_balance = check_opening_balance(asset, liability, equity)
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data = []
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data.extend(asset or [])
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data.extend(liability or [])
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data.extend(equity or [])
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if opening_balance and round(opening_balance, 2) != 0:
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unclosed = {
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"account_name": "'" + _("Unclosed Fiscal Years Profit / Loss (Credit)") + "'",
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"account": "'" + _("Unclosed Fiscal Years Profit / Loss (Credit)") + "'",
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"warn_if_negative": True,
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"currency": currency,
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}
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for period in period_list:
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unclosed[period.key] = opening_balance
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if provisional_profit_loss:
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provisional_profit_loss[period.key] = provisional_profit_loss[period.key] - opening_balance
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unclosed["total"] = opening_balance
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data.append(unclosed)
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if provisional_profit_loss:
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data.append(provisional_profit_loss)
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if total_credit:
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data.append(total_credit)
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columns = get_columns(
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filters.periodicity, period_list, filters.accumulated_values, company=filters.company
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)
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chart = get_chart_data(filters, columns, asset, liability, equity)
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report_summary = get_report_summary(
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period_list, asset, liability, equity, provisional_profit_loss, currency, filters
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)
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return columns, data, message, chart, report_summary
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def get_provisional_profit_loss(
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asset, liability, equity, period_list, company, currency=None, consolidated=False
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):
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provisional_profit_loss = {}
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total_row = {}
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if asset and (liability or equity):
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total = total_row_total = 0
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currency = currency or frappe.get_cached_value("Company", company, "default_currency")
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total_row = {
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"account_name": "'" + _("Total (Credit)") + "'",
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"account": "'" + _("Total (Credit)") + "'",
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"warn_if_negative": True,
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"currency": currency,
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}
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has_value = False
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for period in period_list:
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key = period if consolidated else period.key
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effective_liability = 0.0
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if liability:
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effective_liability += flt(liability[-2].get(key))
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if equity:
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effective_liability += flt(equity[-2].get(key))
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provisional_profit_loss[key] = flt(asset[-2].get(key)) - effective_liability
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total_row[key] = effective_liability + provisional_profit_loss[key]
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if provisional_profit_loss[key]:
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has_value = True
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total += flt(provisional_profit_loss[key])
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provisional_profit_loss["total"] = total
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total_row_total += flt(total_row[key])
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total_row["total"] = total_row_total
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if has_value:
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provisional_profit_loss.update(
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{
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"account_name": "'" + _("Provisional Profit / Loss (Credit)") + "'",
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"account": "'" + _("Provisional Profit / Loss (Credit)") + "'",
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"warn_if_negative": True,
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"currency": currency,
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}
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)
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return provisional_profit_loss, total_row
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def check_opening_balance(asset, liability, equity):
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# Check if previous year balance sheet closed
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opening_balance = 0
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float_precision = cint(frappe.db.get_default("float_precision")) or 2
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if asset:
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opening_balance = flt(asset[-1].get("opening_balance", 0), float_precision)
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if liability:
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opening_balance -= flt(liability[-1].get("opening_balance", 0), float_precision)
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if equity:
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opening_balance -= flt(equity[-1].get("opening_balance", 0), float_precision)
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opening_balance = flt(opening_balance, float_precision)
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if opening_balance:
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return _("Previous Financial Year is not closed"), opening_balance
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return None, None
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def get_report_summary(
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period_list,
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asset,
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liability,
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equity,
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provisional_profit_loss,
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currency,
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filters,
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consolidated=False,
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):
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net_asset, net_liability, net_equity, net_provisional_profit_loss = 0.0, 0.0, 0.0, 0.0
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if filters.get("accumulated_values"):
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period_list = [period_list[-1]]
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# from consolidated financial statement
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if filters.get("accumulated_in_group_company"):
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period_list = get_filtered_list_for_consolidated_report(filters, period_list)
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for period in period_list:
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key = period if consolidated else period.key
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if asset:
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net_asset += asset[-2].get(key)
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if liability:
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net_liability += liability[-2].get(key)
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if equity:
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net_equity += equity[-2].get(key)
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if provisional_profit_loss:
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net_provisional_profit_loss += provisional_profit_loss.get(key)
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return [
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{"value": net_asset, "label": _("Total Asset"), "datatype": "Currency", "currency": currency},
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{
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"value": net_liability,
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"label": _("Total Liability"),
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"datatype": "Currency",
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"currency": currency,
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},
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{"value": net_equity, "label": _("Total Equity"), "datatype": "Currency", "currency": currency},
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{
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"value": net_provisional_profit_loss,
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"label": _("Provisional Profit / Loss (Credit)"),
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"indicator": "Green" if net_provisional_profit_loss > 0 else "Red",
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"datatype": "Currency",
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"currency": currency,
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},
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]
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def get_chart_data(filters, columns, asset, liability, equity):
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labels = [d.get("label") for d in columns[2:]]
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asset_data, liability_data, equity_data = [], [], []
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for p in columns[2:]:
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if asset:
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asset_data.append(asset[-2].get(p.get("fieldname")))
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if liability:
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liability_data.append(liability[-2].get(p.get("fieldname")))
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if equity:
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equity_data.append(equity[-2].get(p.get("fieldname")))
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datasets = []
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if asset_data:
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datasets.append({"name": _("Assets"), "values": asset_data})
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if liability_data:
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datasets.append({"name": _("Liabilities"), "values": liability_data})
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if equity_data:
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datasets.append({"name": _("Equity"), "values": equity_data})
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chart = {"data": {"labels": labels, "datasets": datasets}}
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if not filters.accumulated_values:
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chart["type"] = "bar"
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else:
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chart["type"] = "line"
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return chart
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