89 lines
4.2 KiB
Python
89 lines
4.2 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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from __future__ import unicode_literals
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cols, columns = [], []
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# Add columns
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# ------------
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based_on = filter_values.get('based_on').split(NEWLINE)
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if len(based_on) == 1 and based_on[0]:
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if based_on[0] == 'Item Code':
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cols = ["Item Code", "Item Name", "Description", "Stock UOM"]
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elif based_on[0] == 'Warehouse':
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cols = ["Warehouse", "Warehouse Type"]
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else:
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cols = ["Item Code", "Item Name", "Description", "Stock UOM", "Warehouse", "Warehouse Type"]
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for d in cols:
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columns.append([d,'Data','150px',''])
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columns.append(['Closing Balance','Currency','200px',''])
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columns.append(['Stock Value','Currency','150px',''])
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posting_date = filter_values.get('posting_date1')
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if not posting_date: posting_date = nowdate()
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for c in columns:
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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(c[3])
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col_idx[c[0]] = len(colnames)-1
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def get_values(msgprint, flt, posting_date, item_code = '', warehouse = ''):
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cl_bal, stock_val = 0,0
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if item_code and not warehouse:
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war_list = sql("select distinct warehouse from `tabStock Ledger Entry` where item_code = %s", item_code)
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for d in war_list:
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act = sql("select bin_aqat, stock_value from `tabStock Ledger Entry` where item_code = %s and warehouse = %s and ifnull(is_cancelled, 'No') = 'No' and timestamp(posting_date, posting_time) <= timestamp(%s, %s) Order by timestamp(posting_date, posting_time) DESC, name DESC LIMIT 1", (item_code, d[0], posting_date, '23:55'))
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cl_bal += act and flt(act[0][0]) or 0.00
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stock_val += act and flt(act[0][1]) or 0.00
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elif warehouse and not item_code:
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item_list = sql("select distinct item_code from `tabStock Ledger Entry` where warehouse = %s", warehouse)
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for d in item_list:
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act = sql("select bin_aqat, stock_value from `tabStock Ledger Entry` where item_code = %s and warehouse = %s and ifnull(is_cancelled, 'No') = 'No' and timestamp(posting_date, posting_time) <= timestamp(%s, %s) Order by timestamp(posting_date, posting_time) DESC, name DESC LIMIT 1", (d[0], warehouse, posting_date, '23:55'))
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cl_bal += act and flt(act[0][0]) or 0.00
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stock_val += act and flt(act[0][1]) or 0.00
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return cl_bal, stock_val
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out=[]
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cl_bal,tot_stock = 0,0
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for r in res:
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if len(based_on) == 1 and based_on[0]:
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if based_on[0] == 'Item Code': closing_balance, stock_value = get_values(msgprint, flt, posting_date, item_code = r[col_idx['Item Code']])
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elif based_on[0] == 'Warehouse': closing_balance, stock_value = get_values(msgprint, flt, posting_date, warehouse = r[col_idx['Warehouse']])
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r.append(closing_balance)
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r.append(stock_value)
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else:
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det = sql("select bin_aqat, stock_value from `tabStock Ledger Entry` where item_code = %s and warehouse = %s and ifnull(is_cancelled, 'No') = 'No' and timestamp(posting_date, posting_time) <= timestamp(%s, %s) Order by timestamp(posting_date, posting_time) DESC, name DESC LIMIT 1", (r[col_idx['Item Code']], r[col_idx['Warehouse']], posting_date, '23:55'))
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r.append(det and flt(det[0][0]) or 0.00)
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r.append(det and flt(det[0][1]) or 0.00)
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cl_bal += flt(r[col_idx['Closing Balance']])
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tot_stock += flt(r[col_idx['Stock Value']])
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out.append(r)
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# Add the totals row
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l_row = ['' for i in range(len(colnames))]
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if len(based_on) == 1 and based_on[0] == 'Warehouse':
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l_row[col_idx['Warehouse Type']] = '<b>TOTALS</b>'
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else:
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l_row[col_idx['Stock UOM']] = '<b>TOTALS</b>'
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l_row[col_idx['Closing Balance']] = cl_bal
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l_row[col_idx['Stock Value']] = tot_stock
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out.append(l_row)
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