251 lines
9.3 KiB
Python
251 lines
9.3 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 add_days, add_months, cstr, getdate
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from webnotes import _
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def get_columns(filters, trans):
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validate_filters(filters)
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# get conditions for based_on filter cond
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based_on_cols, based_on_select, based_on_group_by, addl_tables = based_wise_colums_query(filters.get("based_on"), trans)
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# get conditions for periodic filter cond
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period_cols, period_select = period_wise_colums_query(filters, trans)
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# get conditions for grouping filter cond
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group_by_cols = group_wise_column(filters.get("group_by"))
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columns = based_on_cols + period_cols + ["Total(Qty):Float:120", "Total(Amt):Currency:120"]
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if group_by_cols:
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columns = based_on_cols + group_by_cols + period_cols +["Total(Qty):Float:120", "Total(Amt):Currency:120"]
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conditions = {"based_on_select": based_on_select, "period_wise_select": period_select, "columns": columns,
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"group_by": based_on_group_by, "grbc": group_by_cols, "sup_tab": addl_tables, "trans": trans}
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return conditions
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def validate_filters(filters):
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for f in ["Fiscal Year", "Based On", "Period", "Company"]:
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if not filters.get(f.lower().replace(" ", "_")):
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webnotes.msgprint(f + _(" is mandatory"), raise_exception=1)
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if filters.get("based_on") == filters.get("group_by"):
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webnotes.msgprint("'Based On' and 'Group By' can not be same", raise_exception=1)
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def get_data(filters, conditions):
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data = []
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inc, cond= '',''
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query_details = conditions["based_on_select"] + conditions["period_wise_select"]
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if conditions["based_on_select"] in ["t1.project_name,", "t2.project_name,"]:
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cond = 'and '+ conditions["based_on_select"][:-1] +' IS Not NULL'
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if filters.get("group_by"):
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sel_col = ''
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ind = conditions["columns"].index(conditions["grbc"][0])
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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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elif filters.get("group_by") == 'Supplier':
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sel_col = 't1.supplier'
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if filters.get('based_on') in ['Item','Customer','Supplier']:
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inc = 2
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else :
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inc = 1
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data1 = webnotes.conn.sql(""" select %s from `tab%s` t1, `tab%s Item` t2 %s
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where t2.parent = t1.name and t1.company = %s
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and t1.fiscal_year = %s and t1.docstatus = 1 %s
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group by %s
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""" % (query_details, conditions["trans"], conditions["trans"], conditions["sup_tab"], "%s",
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"%s", cond, conditions["group_by"]), (filters.get("company"),
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filters["fiscal_year"]),as_list=1)
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for d in range(len(data1)):
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#to add blanck column
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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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#to get distinct value of col specified by group_by in filter
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row = webnotes.conn.sql("""select DISTINCT(%s) from `tab%s` t1, `tab%s Item` t2 %s
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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
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"""%(sel_col, conditions["trans"], conditions["trans"], conditions["sup_tab"], "%s", "%s",
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conditions["group_by"], "%s"), (filters.get("company"), filters.get("fiscal_year"),
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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(conditions["columns"]))]
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#get data for group_by filter
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row1 = webnotes.conn.sql(""" select %s , %s from `tab%s` t1, `tab%s Item` t2 %s
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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
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""" % (sel_col, conditions["period_wise_select"], conditions["trans"], conditions["trans"],
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conditions["sup_tab"], "%s", "%s", sel_col, "%s", conditions["group_by"], "%s"),
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(filters.get("company"), filters.get("fiscal_year"), row[i][0], data1[d][0]), as_list=1)
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des[ind] = row[i]
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for j in range(1,len(conditions["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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webnotes.errprint(["hii", conditions["sup_tab"]])
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data = webnotes.conn.sql(""" select %s from `tab%s` t1, `tab%s Item` t2 %s
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where t2.parent = t1.name and t1.company = %s
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and t1.fiscal_year = %s and t1.docstatus = 1 %s
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group by %s
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"""%(query_details, conditions["trans"], conditions["trans"], conditions["sup_tab"], "%s",
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"%s", cond,conditions["group_by"]), (filters.get("company"),
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filters.get("fiscal_year")), as_list=1)
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return data
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def get_mon(dt):
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return getdate(dt).strftime("%b")
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def period_wise_colums_query(filters, trans):
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query_details = ''
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pwc = []
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bet_dates = get_period_date_ranges(filters.get("period"), filters.get("fiscal_year"))
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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 filters.get("period") != 'Yearly':
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for dt in bet_dates:
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get_period_wise_columns(dt, filters.get("period"), pwc)
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query_details = get_period_wise_query(dt, trans_date, query_details)
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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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query_details += 'SUM(t2.qty), SUM(t1.grand_total)'
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return pwc, query_details
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def get_period_wise_columns(bet_dates, period, pwc):
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if period == 'Monthly':
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pwc += [get_mon(bet_dates[0]) + " (Qty):Float:120",
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get_mon(bet_dates[0]) + " (Amt):Currency:120"]
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else:
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pwc += [get_mon(bet_dates[0]) + "-" + get_mon(bet_dates[1]) + " (Qty):Float:120",
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get_mon(bet_dates[0]) + "-" + get_mon(bet_dates[1]) + " (Amt):Currency:120"]
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def get_period_wise_query(bet_dates, trans_date, query_details):
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query_details += """SUM(IF(t1.%(trans_date)s BETWEEN '%(sd)s' AND '%(ed)s', t2.qty, NULL)),
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SUM(IF(t1.%(trans_date)s BETWEEN '%(sd)s' AND '%(ed)s', t1.grand_total, NULL)),
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"""%{"trans_date": trans_date, "sd": bet_dates[0],"ed": bet_dates[1]}
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return query_details
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def get_period_date_ranges(period, fiscal_year):
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from dateutil.relativedelta import relativedelta
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year_start_date = webnotes.conn.get_value("Fiscal Year", fiscal_year, "year_start_date")
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increment = {
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"Monthly": 1,
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"Quarterly": 3,
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"Half-Yearly": 6,
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"Yearly": 12
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}.get(period)
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period_date_ranges = []
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for i in xrange(1, 13, increment):
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period_end_date = year_start_date + relativedelta(months=increment, days=-1)
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period_date_ranges.append([year_start_date, period_end_date])
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year_start_date = period_end_date + relativedelta(days=1)
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return period_date_ranges
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def get_period_month_ranges(period, fiscal_year):
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from dateutil.relativedelta import relativedelta
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period_month_ranges = []
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for start_date, end_date in get_period_date_ranges(period, fiscal_year):
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months_in_this_period = []
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while start_date <= end_date:
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months_in_this_period.append(start_date.strftime("%B"))
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start_date += relativedelta(months=1)
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period_month_ranges.append(months_in_this_period)
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return period_month_ranges
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def based_wise_colums_query(based_on, trans):
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sup_tab = ''
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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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based = '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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based = '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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based = '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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based = 't1.customer_group'
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elif based_on == 'Supplier':
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bon = ["Supplier:Link/Supplier:120", "Supplier Type:Link/Supplier Type:120"]
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query_details = "t1.supplier, t3.supplier_type,"
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based = 't1.supplier'
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sup_tab = ',`tabSupplier` t3'
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elif based_on == 'Supplier Type':
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bon = ["Supplier Type:Link/Supplier Type:120"]
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query_details = "t3.supplier_type,"
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based = 't3.supplier_type'
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sup_tab =',`tabSupplier` t3'
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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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based = 't1.territory'
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elif based_on == "Project":
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if trans in ['Sales Invoice', 'Delivery Note', 'Sales Order']:
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bon = ["Project:Link/Project:120"]
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query_details = "t1.project_name,"
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based = 't1.project_name'
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elif trans in ['Purchase Order', 'Purchase Invoice', 'Purchase Receipt']:
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bon = ["Project:Link/Project:120"]
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query_details = "t2.project_name,"
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based = 't2.project_name'
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else:
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webnotes.msgprint("Project-wise data is not available for Quotation", raise_exception=1)
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return bon, query_details, based, sup_tab
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def group_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 [] |