142 lines
6.4 KiB
Python
142 lines
6.4 KiB
Python
# ERPNext - web based ERP (http://erpnext.com)
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# Copyright (C) 2012 Web Notes Technologies Pvt Ltd
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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# Columns
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#----------
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cl = [['Account','Data', '200px'],['Debit/Credit', 'Data', '100px'], ['Group/Ledger', 'Data', '100px'], ['Is PL Account', 'Data', '100px'], ['Opening (Dr)','Data', '100px'], ['Opening (Cr)','Data', '100px'],['Debit', 'Data', '100px'],['Credit', 'Data', '100px'],['Closing (Dr)', 'Data', '100px'],['Closing (Cr)', 'Data', '100px']]
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for c in cl:
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colnames.append(c[0])
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coltypes.append(c[1])
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colwidths.append(c[2])
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coloptions.append('')
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col_idx[c[0]] = len(colnames)-1
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# transaction date
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# ------------------
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if not filter_values.get('transaction_date') or not filter_values.get('transaction_date1'):
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msgprint("Please enter From Date and To Date")
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raise Exception
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else:
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from_date = filter_values['transaction_date']
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to_date = filter_values['transaction_date1']
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#check for from date and to date within same year
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#------------------------------------------------
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if not sql("select name from `tabFiscal Year` where %s between year_start_date and date_sub(date_add(year_start_date,interval 1 year), interval 1 day) and %s between year_start_date and date_sub(date_add(year_start_date,interval 1 year), interval 1 day)",(from_date, to_date)):
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msgprint("From Date and To Date must be within same year")
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raise Exception
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# get year of the from date and to date
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# --------------------------------------
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from_date_year = sql("select name from `tabFiscal Year` where %s between year_start_date and date_sub(date_add(year_start_date,interval 1 year), interval 1 day)",add_days(from_date, -1))
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from_date_year = from_date_year and from_date_year[0][0] or ''
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to_date_year = sql("select name from `tabFiscal Year` where %s between year_start_date and date_sub(date_add(year_start_date,interval 1 year), interval 1 day)",to_date)
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to_date_year = to_date_year and to_date_year[0][0] or ''
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# if output is more than 500 lines then it will ask to export
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# ------------------------------------------------------------
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if len(res) > 1000 and from_export == 0:
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msgprint("This is a very large report and cannot be shown in the browser as it is likely to make your browser very slow.Please click on 'Export' to open in a spreadsheet")
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raise Exception
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acc_dict = {}
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for t in sql("select name, debit_or_credit, is_pl_account, lft, rgt, group_or_ledger from tabAccount where docstatus != 2 and company = %s", filter_values['company']):
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acc_dict[t[0]] = [t[1], t[2], t[3], t[4], t[5]]
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total_debit, total_credit, total_opening_dr, total_opening_cr, total_closing_dr, total_closing_cr = 0, 0, 0, 0, 0, 0
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glc = get_obj('GL Control')
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# Main logic
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# ----------
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for r in res:
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# Fetch account details
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acc = r[col_idx['Account']].strip()
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r.append(acc_dict[acc][0])
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r.append(acc_dict[acc][4])
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r.append(acc_dict[acc][1])
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#if shows group and ledger both but without group balance
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if filter_values.get('show_group_ledger') == 'Both But Without Group Balance' and acc_dict[acc][4] == 'Group':
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for i in range(4):
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r.append('')
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continue
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# Opening Balance
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#-----------------------------
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if from_date_year == to_date_year:
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debit_on_fromdate, credit_on_fromdate, opening = glc.get_as_on_balance(acc, from_date_year, add_days(from_date, -1), acc_dict[acc][0], acc_dict[acc][2], acc_dict[acc][3]) # opening = closing of prev_date
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elif acc_dict[acc][1] == 'No': # if there is no previous year in system and not pl account
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opening = sql("select opening from `tabAccount Balance` where account = %s and period = %s", (acc, to_date_year))
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debit_on_fromdate, credit_on_fromdate, opening = 0, 0, flt(opening[0][0])
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else: # if pl account and there is no previous year in system
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debit_on_fromdate, credit_on_fromdate, opening = 0,0,0
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# closing balance
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#--------------------------------
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debit_on_todate, credit_on_todate, closing = glc.get_as_on_balance(acc, to_date_year, to_date, acc_dict[acc][0], acc_dict[acc][2], acc_dict[acc][3])
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# transaction betn the period
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#----------------------------------------
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debit = flt(debit_on_todate) - flt(debit_on_fromdate)
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credit = flt(credit_on_todate) - flt(credit_on_fromdate)
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# Debit / Credit
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if acc_dict[acc][0] == 'Credit':
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opening, closing = -1*opening, -1*closing
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# Totals
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total_opening_dr += opening>0 and flt(opening) or 0
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total_opening_cr += opening<0 and -1*flt(opening) or 0
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total_debit += debit
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total_credit += credit
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total_closing_dr += closing>0 and flt(closing) or 0
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total_closing_cr += closing<0 and -1*flt(closing) or 0
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# Append in rows
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r.append(flt(opening>0 and opening or 0))
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r.append(flt(opening<0 and -opening or 0))
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r.append(flt(debit))
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r.append(flt(credit))
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r.append(flt(closing>0 and closing or 0))
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r.append(flt(closing<0 and -closing or 0))
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out =[]
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for r in res:
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# Remove accounts if opening bal = debit = credit = closing bal = 0
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# ------------------------------------------------------------------
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if filter_values.get('show_zero_balance') != 'No':
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out.append(r)
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elif r[col_idx['Opening (Dr)']] or r[col_idx['Opening (Cr)']] or r[col_idx['Debit']] or r[col_idx['Credit']] or r[col_idx['Closing (Dr)']] or r[col_idx['Closing (Cr)']] or (r[col_idx['Group/Ledger']] == 'Group' and filter_values.get('show_group_ledger') == 'Both But Without Group Balance'):
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out.append(r)
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# Total Debit / Credit
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# --------------------------
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if filter_values.get('show_group_ledger') in ['Only Ledgers', 'Both But Without Group Balance']:
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t_row = ['' for i in range(len(colnames))]
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t_row[col_idx['Account']] = 'Total'
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t_row[col_idx['Opening (Dr)']] = '%.2f' % total_opening_dr
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t_row[col_idx['Opening (Cr)']] = '%.2f' % total_opening_cr
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t_row[col_idx['Debit']] = '%.2f' % total_debit
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t_row[col_idx['Credit']] = '%.2f' % total_credit
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t_row[col_idx['Closing (Dr)']] = '%.2f' % total_closing_dr
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t_row[col_idx['Closing (Cr)']] = '%.2f' % total_closing_cr
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out.append(t_row)
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