177 lines
7.5 KiB
Python
177 lines
7.5 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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# ********************************************* INITIALIZATION *******************************************
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out = []
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# Filter Values
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# =============================================
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based_on = filter_values.get('based_on')
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group_by = filter_values.get('group_by')
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trans = filter_values.get('transaction')
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period = filter_values.get('period')
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order_type = filter_values.get('order_type')
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company = filter_values.get('company')
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fiscal_year = filter_values.get('fiscal_year')
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item = filter_values.get('item')
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item_group = filter_values.get('item_group')
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customer = filter_values.get('customer')
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customer_group = filter_values.get('customer_group')
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territory = filter_values.get('territory')
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supplier = filter_values.get('supplier')
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supplier_type = filter_values.get('supplier_type')
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project = filter_values.get('project')
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# ********************************************* SET DEFAULTS **************************************************
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# Details Table
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# --------------
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trans_det = trans+' Item'
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col_names, query_val = get_obj('Trend Analyzer Control').get_single_year_query_value(fiscal_year, period, trans, trans_det)
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query_val += 'SUM(t2.qty), SUM(t2.amount)'
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col_names.append('Total (Qty)')
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col_names.append('Total (Amt)')
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# ********************************************* VALIDATIONS ***************************************************
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if (based_on in ['Customer','Customer Group','Territory'] and group_by == 'Supplier') or (based_on in ['Supplier','Supplier Type'] and group_by == 'Customer'):
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msgprint("Sorry! You cannot group Trend Analyzer based on %s by %s" % (based_on,group_by))
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raise Exception
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if based_on == group_by:
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msgprint("Based On and Group By value cannot be same for Trend Analyzer")
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raise Exception
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# ********************************************** ADD COLUMNS **********************************************
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cols = [[based_on, 'Data', '300px', '']]
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cr = 1
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if based_on == 'Item':
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cols.append(['Item Name','Data','200px',''])
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cr = 2
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elif based_on == 'Customer':
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cols.append(['Territory','Link','150px','Territory'])
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cr = 2
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elif based_on == 'Supplier':
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cols.append(['Supplier Type','Link','150px','Supplier Type'])
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cr = 2
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if group_by:
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cr += 1
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if group_by:
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cols.append([group_by,'Data','150px',''])
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for c in col_names:
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cols.append([c,'Currency','150px',''])
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for c in cols:
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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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# ******************************************* ADDITIONAL CONDITION ************************************************
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add_cond = ' t2.parent = t1.name AND t1.company = "%s" AND t1.fiscal_year = "%s" and t1.docstatus = 1' % (company, fiscal_year)
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add_tab = ' `tab'+trans+'` t1, `tab'+trans_det+'` t2'
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if order_type: add_cond += ' AND t1.order_type = "%s"' % order_type
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# Item
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if item or based_on == 'Item':
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add_cond += ' AND t2.item_code = "%s"' % (based_on != 'Item' and item or '%(value)s')
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# Item Group
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if item_group or based_on == 'Item Group':
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add_tab += ' ,`tabItem` t3, `tabItem Group` t4 '
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add_cond += ' AND t3.name = t2.item_code AND t3.item_group = t4.name and (t4.name = "%s" or t4.name IN (SELECT t5.name FROM `tabItem Group` t5,`tabItem Group` t6 WHERE t5.lft BETWEEN t6.lft and t6.rgt and t5.docstatus !=2 and t6.name = "%s"))' % (based_on != 'Item Group' and item_group or '%(value)s', based_on != 'Item Group' and item_group or '%(value)s')
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# Customer
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if customer or based_on == 'Customer':
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add_cond += ' AND t1.customer = "%s"' % (based_on != 'Customer' and customer or '%(value)s')
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# Customer Group
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if customer_group or based_on == 'Customer Group':
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add_tab += ' ,`tabCustomer` t7, `tabCustomer Group` t8 '
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add_cond += ' AND t7.name = t1.customer AND t7.customer_group = t8.name and (t8.name = "%s" or t8.name IN (SELECT t9.name FROM `tabCustomer Group` t9,`tabCustomer Group` t10 WHERE t9.lft BETWEEN t10.lft and t10.rgt and t9.docstatus !=2 and ifnull(t9.is_group,"No") = "No" and t10.name = "%s"))' % (based_on != 'Customer Group' and customer_group or '%(value)s', based_on != 'Customer Group' and customer_group or '%(value)s')
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# Territory
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if territory or based_on == 'Territory':
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add_tab += ' ,`tabTerritory` t11 '
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add_cond += ' AND t1.territory = t11.name and (t11.name = "%s" or t11.name IN (SELECT t12.name FROM `tabTerritory` t12,`tabTerritory` t13 WHERE t12.lft BETWEEN t13.lft and t13.rgt and t12.docstatus !=2 and ifnull(t12.is_group,"No") = "No" and t13.name = "%s"))' % (based_on != 'Territory' and territory or '%(value)s', based_on != 'Territory' and territory or '%(value)s')
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# Supplier
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if supplier or based_on == 'Supplier':
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add_cond += ' AND t1.supplier = "%s"' % (based_on != 'Supplier' and supplier or '%(value)s')
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# Supplier Type
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if supplier_type or based_on == 'Supplier Type':
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add_tab += ' ,`tabSupplier` t14, `tabSupplier Type` t15 '
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add_cond += ' AND t14.name = t1.supplier AND t14.supplier_type = t15.name and t15.name = "%s"' % (based_on != 'Supplier Type' and supplier_type or '%(value)s')
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# Project
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if project or based_on == 'Project':
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if trans in ['Purchase Order', 'Purchase Receipt', 'Purchase Invoice']:
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add_cond += ' AND t2.project_name = "%s"' % (based_on != 'Project' and project or '%(value)s')
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else:
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add_cond += ' AND t1.project_name = "%s"' % (based_on != 'Project' and project or '%(value)s')
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# Column to be seleted for group by condition
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# ==============================================
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sel_col = ''
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if group_by == 'Item':
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sel_col = 't2.item_code'
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elif group_by == 'Customer':
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sel_col = 't1.customer'
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elif group_by == 'Supplier':
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sel_col = 't1.supplier'
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# ********************************************** Result Set ************************************************
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for r in res:
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main_det = sql("SELECT %s FROM %s WHERE %s" % (query_val, add_tab, add_cond % {'value':cstr(r[col_idx[based_on]]).strip()}))
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if group_by:
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for col in range(cr,cr+1): # this would make all first row blank. just for look
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r.append('')
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if main_det[0][len(colnames) - cr - 1]:
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for d in range(len(colnames) - cr):
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r.append(flt(main_det[0][d]))
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out.append(r)
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if group_by:
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flag = 1
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# check for root nodes
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if based_on in ['Item Group','Customer Group','Territory']:
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is_grp = sql("select is_group from `tab%s` where name = '%s'" % (based_on, cstr(r[col_idx[based_on]]).strip()))
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is_grp = is_grp and cstr(is_grp[0][0]) or ''
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if is_grp != 'No':
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flag = 0
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if flag == 1:
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det = [x[0] for x in sql("SELECT DISTINCT %s FROM %s where %s" % (sel_col, add_tab, add_cond % {'value':cstr(r[col_idx[based_on]]).strip()}))]
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for des in range(len(det)):
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t_row = ['' for i in range(len(colnames))]
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t_row[col_idx[group_by]] = cstr(det[des])
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gr_det = sql("SELECT %s FROM %s WHERE %s = '%s' and %s" % (query_val, add_tab, sel_col, cstr(det[des]), add_cond % {'value':cstr(r[col_idx[based_on]]).strip()}))
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for d in range(len(col_names)):
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t_row[col_idx[col_names[d]]] = flt(gr_det[0][d])
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out.append(t_row)
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