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220 lines
8.5 KiB
Python
220 lines
8.5 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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from __future__ import unicode_literals
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import webnotes
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from webnotes.utils import cint, add_days, add_months, cstr
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def execute(filters=None):
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if not filters: filters ={}
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# Global data
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trans = "Quotation"
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tab = ["tabQuotation","tabQuotation Item"]
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ysd = webnotes.conn.sql("select year_start_date from `tabFiscal Year` where name = '%s'"%filters.get("fiscal_year"))[0][0]
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year_start_date = ysd.strftime('%Y-%m-%d')
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start_month = cint(year_start_date.split('-')[1])
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columns, query_bon, query_pwc, group_by, gby = get_columns(filters, year_start_date, start_month, trans)
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data = get_data(columns,filters, tab, query_bon, query_pwc, group_by, gby)
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return columns, data
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def get_columns(filters, year_start_date, start_month, trans):
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columns, pwc, bon, gby = [], [], [], []
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query_bon, query_pwc = '', ''
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period = filters.get("period")
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based_on = filters.get("based_on")
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grby = filters.get("group_by")
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if not (period and based_on):
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webnotes.msgprint("Value missing in 'Period' or 'Based On'", raise_exception=1)
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elif based_on == grby:
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webnotes.msgprint("Plese select different values in 'Based On' and 'Group By'", raise_exception=1)
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else:
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bon,query_bon,group_by = base_wise_column(based_on, bon)
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pwc,query_pwc = period_wise_column_and_query(filters, period, pwc, year_start_date,start_month, trans)
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gby = gruoup_wise_column(grby)
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if gby:
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columns = bon + gby + pwc +["TOTAL(Qty):Float:120", "TOTAL(Amt):Currency:120"]
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else:
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columns = bon + pwc + ["TOTAL(Qty):Float:120", "TOTAL(Amt):Currency:120"]
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return columns, query_bon, query_pwc, group_by,gby
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def get_data(columns, filters, tab, query_bon, query_pwc, group_by,gby):
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query_details = query_bon + query_pwc + 'SUM(t2.qty), SUM(t1.grand_total) '
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query_pwc = query_pwc + 'SUM(t2.qty), SUM(t1.grand_total)'
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data = []
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inc = ''
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if filters.get("group_by"):
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sel_col = ''
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if filters.get("group_by") == 'Item':
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sel_col = 't2.item_code'
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elif filters.get("group_by") == 'Customer':
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sel_col = 't1.customer'
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if filters.get('based_on') in ['Item','Customer']:
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inc = 2
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else :
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inc = 1
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ind = columns.index(gby[0])
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data1 = webnotes.conn.sql(""" select %s %s from `%s` t1, `%s` t2
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where t2.parent = t1.name and t1.company = '%s' and t1.fiscal_year = '%s'
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and t1.docstatus = 1 group by %s """%(query_bon, query_pwc, tab[0], tab[1],
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filters.get("company"), filters.get("fiscal_year"), group_by), as_list=1)
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for d in range(len(data1)):
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dt = data1[d]
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dt.insert(ind,'')
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data.append(dt)
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row = webnotes.conn.sql("""select DISTINCT(%s) from `%s` t1, `%s` t2
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where t2.parent = t1.name and t1.company = '%s' and t1.fiscal_year = '%s'
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and t1.docstatus = 1 and %s = '%s' """%(sel_col, tab[0], tab[1], filters.get("company"),
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filters.get("fiscal_year"), group_by, data1[d][0]),as_list=1)
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for i in range(len(row)):
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des = ['' for q in range(len(columns))]
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row1 = webnotes.conn.sql(""" select %s , %s from `%s` t1, `%s` t2
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where t2.parent = t1.name and t1.company = '%s' and t1.fiscal_year = '%s'
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and t1.docstatus = 1 and %s = '%s' and %s ='%s' """%(sel_col, query_pwc, tab[0], tab[1],
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filters.get("company"), filters.get("fiscal_year"), sel_col, row[i][0], group_by,
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data1[d][0]),as_list=1)
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des[ind] = row[i]
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for j in range(1,len(columns)-inc):
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des[j+inc] = row1[0][j]
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data.append(des)
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else:
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data = webnotes.conn.sql(""" select %s from `%s` t1, `%s` t2
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where t2.parent = t1.name and t1.company = '%s' and t1.fiscal_year = '%s'
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and t1.docstatus = 1 group by %s
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"""%(query_details, tab[0], tab[1], filters.get("company"), filters.get("fiscal_year"), group_by), as_list=1)
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return data
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def period_wise_column_and_query(filters, period, pwc, year_start_date, start_month, trans):
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query_details = ''
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if trans in ['Purchase Receipt', 'Delivery Note', 'Purchase Invoice', 'Sales Invoice']:
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trans_date = 'posting_date'
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else:
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trans_date = 'transaction_date'
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if period == "Monthly":
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month_name = ['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec']
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for month in range(start_month-1,len(month_name)):
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pwc.append(month_name[month]+' (Qty):Float:120')
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pwc.append(month_name[month]+' (Amt):Currency:120')
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query_details += """
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Sum(CASE WHEN MONTH(t1.%(trans)s)= %(mon_num)s THEN t2.qty ELSE NULL END),
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SUM(CASE WHEN MONTH(t1.%(trans)s)= %(mon_num)s THEN t1.grand_total ELSE NULL END),
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"""%{"trans": trans_date,"mon_num": cstr(month+1)}
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for month in range(0, start_month-1):
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pwc.append(month_name[month]+' (Qty):Float:120')
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pwc.append(month_name[month]+' (Amt):Currency:120')
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query_details += """
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Sum(CASE WHEN MONTH(t1.%(trans)s)= %(mon_num)s THEN t2.qty ELSE NULL END),
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SUM(CASE WHEN MONTH(t1.%(trans)s)= %(mon_num)s THEN t1.grand_total ELSE NULL END),
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"""%{"trans": trans_date, "mon_num": cstr(month+1)}
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elif period == "Quarterly":
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pwc = ["Q1(qty):Float:120", "Q1(amt):Currency:120", "Q2(qty):Float:120", "Q2(amt):Currency:120",
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"Q3(qty):Float:120", "Q3(amt):Currency:120", "Q4(qty):Float:120", "Q4(amt):Currency:120"]
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first_qsd, second_qsd, third_qsd, fourth_qsd = year_start_date, add_months(year_start_date,3), add_months(year_start_date,6), add_months(year_start_date,9)
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first_qed, second_qed, third_qed, fourth_qed = add_days(add_months(first_qsd,3),-1), add_days(add_months(second_qsd,3),-1), add_days(add_months(third_qsd,3),-1), add_days(add_months(fourth_qsd,3),-1)
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bet_dates = [[first_qsd,first_qed],[second_qsd,second_qed],[third_qsd,third_qed],[fourth_qsd,fourth_qed]]
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for d in bet_dates:
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query_details += """
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SUM(CASE WHEN t1.%(trans)s BETWEEN '%(sd)s' AND '%(ed)s' THEN t2.qty ELSE NULL END),
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SUM(CASE WHEN t1.%(trans)s BETWEEN '%(sd)s' AND '%(ed)s' THEN t1.grand_total ELSE NULL END),
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"""%{"trans": trans_date, "sd": d[0],"ed": d[1]}
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elif period == "Half-yearly":
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pwc = ["Fisrt Half(qty):Float:120", "Fisrt Half(amt):Currency:120", "Second Half(qty):Float:120",
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"Second Half(amt):Currency:120"]
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first_half_start = year_start_date
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first_half_end = add_days(add_months(first_half_start,6),-1)
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second_half_start = add_days(first_half_end,1)
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second_half_end = add_days(add_months(second_half_start,6),-1)
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query_details = """
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SUM(CASE WHEN t1.%(trans)s BETWEEN '%(fhs)s' AND '%(fhe)s' THEN t2.qty ELSE NULL END),
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SUM(CASE WHEN t1.%(trans)s BETWEEN '%(fhs)s' AND '%(fhe)s' THEN t1.grand_total ELSE NULL END),
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SUM(CASE WHEN t1.%(trans)s BETWEEN '%(shs)s' AND '%(she)s' THEN t2.qty ELSE NULL END),
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SUM(CASE WHEN t1.%(trans)s BETWEEN '%(shs)s' AND '%(she)s' THEN t1.grand_total ELSE NULL END),
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"""%{"trans": trans_date, "fhs": first_half_start, "fhe": first_half_end,"shs": second_half_start, "she": second_half_end}
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else:
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pwc = [filters.get("fiscal_year")+"(qty):Float:120", filters.get("fiscal_year")+"(amt):Currency:120"]
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query_details = " SUM(t2.qty), SUM(t1.grand_total),"
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return pwc, query_details
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def base_wise_column(based_on, bon):
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if based_on == "Item":
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bon = ["Item:Link/Item:120", "Item Name:Data:120"]
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query_details = "t2.item_code, t2.item_name,"
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group_by = 't2.item_code'
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elif based_on == "Item Group":
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bon = ["Item Group:Link/Item Group:120"]
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query_details = "t2.item_group,"
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group_by = 't2.item_group'
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elif based_on == "Customer":
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bon = ["Customer:Link/Customer:120", "Territory:Link/Territory:120"]
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query_details = "t1.customer_name, t1.territory, "
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group_by = 't1.customer_name'
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elif based_on == "Customer Group":
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bon = ["Customer Group:Link/Customer Group"]
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query_details = "t1.customer_group, "
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group_by = 't1.customer_group'
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elif based_on == "Territory":
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bon = ["Territory:Link/Territory:120"]
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query_details = "t1.territory, "
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group_by = 't1.territory'
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else:
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bon = ["Project:Link/Project:120"]
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return bon, query_details, group_by
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def gruoup_wise_column(group_by):
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if group_by:
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return [group_by+":Link/"+group_by+":120"]
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else:
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return [] |