e6526369f3
Supplier: supplier_status field has been deleted, not used by anyone except janak index patch modified
153 lines
6.4 KiB
Python
153 lines
6.4 KiB
Python
# Check mandatory filters
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# ------------------------------------------------------------------
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if not filter_values.get('posting_date') or not filter_values.get('posting_date1'):
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msgprint("Please select From Posting Date and To Posting Date ")
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raise Exception
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else:
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from_date = filter_values.get('posting_date')
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to_date = filter_values.get('posting_date1')
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if not filter_values['range_1'] or not filter_values['range_2'] or not filter_values['range_3'] or not filter_values['range_4']:
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msgprint("Please select aging ranges in no of days in 'More Filters' ")
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raise Exception
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# validate Range
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range_list = ['range_1','range_2','range_3','range_4']
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for r in range(len(range_list)-1):
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if not cint(filter_values[range_list[r]]) < cint(filter_values[range_list[r + 1]]):
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msgprint("Range %s should be less than Range %s." % (cstr(r+1),cstr(r+2)))
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raise Exception
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# Add columns
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# ------------------------------------------------------------------
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data = [['Aging Date','Date','80px',''],
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['Transaction Date','Date','80px',''],
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['Account','Data','120px',''],
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['Against Voucher Type','Data','120px',''],
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['Against Voucher','Data','120px',''],
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['Voucher Type','Data','120px',''],
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['Voucher No','Data','120px',''],
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['Remarks','Data','160px',''],
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['Supplier Type', 'Data', '80px', ''],
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['Due Date', 'Data', '80px', ''],
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['Bill No','Data','80px',''],
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['Bill Date','Data','80px',''],
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['Opening Amt','Currency','120px',''],
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['Outstanding Amt','Currency','120px',''],
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['Age (Days)', 'Currency', '150px', ''],
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['0-'+cstr(filter_values['range_1']),'Currency','100px',''],
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[cstr(cint(filter_values['range_1']) + 1)+ '-' +cstr(filter_values['range_2']),'Currency','100px',''],
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[cstr(cint(filter_values['range_2']) + 1)+ '-' +cstr(filter_values['range_3']),'Currency','100px',''],
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[cstr(cint(filter_values['range_3']) + 1)+ '-' +cstr(filter_values['range_4']),'Currency','100px',''],
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[cstr(filter_values['range_4']) + '-Above','Currency','100px','']]
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for d in data:
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colnames.append(d[0])
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coltypes.append(d[1])
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colwidths.append(d[2])
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coloptions.append(d[3])
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col_idx[d[0]] = len(colnames)-1
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# ageing based on
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# ------------------------------------------------------------------
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aging_based_on = 'Aging Date'
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if filter_values.has_key('aging_based_on') and filter_values['aging_based_on']:
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aging_based_on = filter_values['aging_based_on'].split(NEWLINE)[-1]
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if len(res) > 600 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 select Account or click on 'Export' to open in excel")
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raise Exception
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# ------------------------------------------------------------------
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# main loop starts here
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# ------------------------------------------------------------------
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# get supplier type
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supp_type_dict = {}
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for each in sql("select t2.name, t1.supplier_type from tabSupplier t1, tabAccount t2 where t1.name = t2.account_name group by t2.name"):
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supp_type_dict[each[0]] = each[1]
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# get due_date, bill_no, bill_date from PV
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pv_dict = {}
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for t in sql("select name, due_date, bill_no, bill_date from `tabPayable Voucher` group by name"):
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pv_dict[t[0]] = [cstr(t[1]), t[2], cstr(t[3])]
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# pv outside this period
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pv_outside_period = [d[0] for d in sql("select distinct name from `tabPayable Voucher` where (posting_date < '%s' or posting_date > '%s') and docstatus = 1" % (from_date, to_date))]
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out = []
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total_booking_amt, total_outstanding_amt = 0,0
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for r in res:
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outstanding_amt, due_date, bill_no, bill_date, cond = 0, '','','', ''
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booking_amt = r.pop(8)
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# supplier type
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r.append(supp_type_dict.get(r[col_idx['Account']], ''))
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# if entry against Payable Voucher
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if r[col_idx['Against Voucher']] and r[col_idx['Voucher Type']] == 'Payable Voucher':
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r += pv_dict.get(r[col_idx['Voucher No']], ['', '', ''])
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cond = " and ifnull(against_voucher, '') = '%s'" % r[col_idx['Against Voucher']]
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# if entry against JV & and not adjusted within period
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elif r[col_idx['Against Voucher Type']] == 'Payable Voucher' and r[col_idx['Against Voucher']] in pv_outside_period:
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booking_amt = 0
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cond = " and voucher_no = '%s' and ifnull(against_voucher, '') = '%s'" % (r[col_idx['Voucher No']], r[col_idx['Against Voucher']])
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# if un-adjusted
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elif not r[col_idx['Against Voucher']]:
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booking_amt = 0
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cond = " and ((voucher_no = '%s' and ifnull(against_voucher, '') = '') or (ifnull(against_voucher, '') = '%s' and voucher_type = 'Journal Voucher'))" % (r[col_idx['Voucher No']], r[col_idx['Voucher No']])
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if cond:
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outstanding_amt = flt(sql("select sum(ifnull(credit, 0))-sum(ifnull(debit, 0)) from `tabGL Entry` where account = '%s' and ifnull(is_cancelled, 'No') = 'No' and posting_date <= '%s' %s" % (r[col_idx['Account']], to_date, cond))[0][0] or 0)
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# add to total outstanding
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total_outstanding_amt += flt(outstanding_amt)
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# add to total booking amount
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if outstanding_amt and r[col_idx['Voucher Type']] == 'Payable Voucher' and r[col_idx['Against Voucher']]:
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total_booking_amt += flt(booking_amt)
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r += [booking_amt, outstanding_amt]
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# split into date ranges
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val_l1 = val_l2 = val_l3 = val_l4 = val_l5_above= 0
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if r[col_idx[aging_based_on]]:
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diff = (getdate(to_date) - getdate(r[col_idx[aging_based_on]])).days
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if diff < cint(filter_values['range_1']):
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val_l1 = outstanding_amt
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if diff >= cint(filter_values['range_1']) and diff < cint(filter_values['range_2']):
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val_l2 = outstanding_amt
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if diff >= cint(filter_values['range_2']) and diff < cint(filter_values['range_3']):
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val_l3 = outstanding_amt
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if diff >= cint(filter_values['range_3']) and diff < cint(filter_values['range_4']):
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val_l4 = outstanding_amt
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if diff >= cint(filter_values['range_4']):
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val_l5_above = outstanding_amt
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r += [diff, val_l1, val_l2, val_l3, val_l4, val_l5_above]
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# Only show that entry which has outstanding
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if abs(flt(outstanding_amt)) > 0.001:
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out.append(r)
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if len(out) > 300 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 select Account or click on 'Export' to open in excel")
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raise Exception
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# Append Extra rows to RES
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# ------------------------------------------------------------------
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t_row = ['' for i in range(len(colnames))]
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t_row[col_idx['Voucher No']] = 'Total'
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t_row[col_idx['Opening Amt']] = total_booking_amt
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t_row[col_idx['Outstanding Amt']] = total_outstanding_amt
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out.append(t_row)
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