283 lines
12 KiB
Python
283 lines
12 KiB
Python
# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
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# License: GNU General Public License v3. See license.txt
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from __future__ import unicode_literals
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import frappe
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from frappe.utils import getdate
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from frappe 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_details = based_wise_columns_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_columns_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_details["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_details["based_on_cols"] + group_by_cols + period_cols + \
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[_("Total(Qty)") + ":Float:120", _("Total(Amt)") + ":Currency:120"]
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conditions = {"based_on_select": based_on_details["based_on_select"], "period_wise_select": period_select,
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"columns": columns, "group_by": based_on_details["based_on_group_by"], "grbc": group_by_cols, "trans": trans,
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"addl_tables": based_on_details["addl_tables"], "addl_tables_relational_cond": based_on_details.get("addl_tables_relational_cond", "")}
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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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frappe.throw(_("{0} is mandatory").format(f))
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if not frappe.db.exists("Fiscal Year", filters.get("fiscal_year")):
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frappe.throw(_("Fiscal Year {0} Does Not Exist").format(filters.get("fiscal_year")))
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if filters.get("based_on") == filters.get("group_by"):
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frappe.throw(_("'Based On' and 'Group By' can not be same"))
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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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posting_date = 't1.transaction_date'
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if conditions.get('trans') in ['Sales Invoice', 'Purchase Invoice', 'Purchase Receipt', 'Delivery Note']:
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posting_date = 't1.posting_date'
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if filters.period_based_on:
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posting_date = 't1.'+filters.period_based_on
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if conditions["based_on_select"] in ["t1.project,", "t2.project,"]:
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cond = ' and '+ conditions["based_on_select"][:-1] +' IS Not NULL'
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if conditions.get('trans') in ['Sales Order', 'Purchase Order']:
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cond += " and t1.status != 'Closed'"
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if conditions.get('trans') == 'Quotation' and filters.get("group_by") == 'Customer':
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cond += " and t1.quotation_to = 'Customer'"
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year_start_date, year_end_date = frappe.db.get_value("Fiscal Year",
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filters.get('fiscal_year'), ["year_start_date", "year_end_date"])
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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.party_name' if conditions.get('trans') == 'Quotation' else '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 = frappe.db.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 and %s between %s and %s and
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t1.docstatus = 1 %s %s
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group by %s
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""" % (query_details, conditions["trans"], conditions["trans"], conditions["addl_tables"], "%s",
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posting_date, "%s", "%s", conditions.get("addl_tables_relational_cond"), cond, conditions["group_by"]), (filters.get("company"),
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year_start_date, year_end_date),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 = frappe.db.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 %s between %s and %s
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and t1.docstatus = 1 and %s = %s %s %s
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""" %
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(sel_col, conditions["trans"], conditions["trans"], conditions["addl_tables"],
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"%s", posting_date, "%s", "%s", conditions["group_by"], "%s", conditions.get("addl_tables_relational_cond"), cond),
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(filters.get("company"), year_start_date, year_end_date, 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 = frappe.db.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 %s between %s and %s
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and t1.docstatus = 1 and %s = %s and %s = %s %s %s
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""" %
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(sel_col, conditions["period_wise_select"], conditions["trans"],
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conditions["trans"], conditions["addl_tables"], "%s", posting_date, "%s","%s", sel_col,
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"%s", conditions["group_by"], "%s", conditions.get("addl_tables_relational_cond"), cond),
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(filters.get("company"), year_start_date, year_end_date, row[i][0],
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data1[d][0]), as_list=1)
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des[ind] = row[i][0]
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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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data = frappe.db.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 and %s between %s and %s and
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t1.docstatus = 1 %s %s
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group by %s
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""" %
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(query_details, conditions["trans"], conditions["trans"], conditions["addl_tables"],
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"%s", posting_date, "%s", "%s", cond, conditions.get("addl_tables_relational_cond", ""), conditions["group_by"]),
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(filters.get("company"), year_start_date, year_end_date), 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_columns_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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if filters.period_based_on:
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trans_date = filters.period_based_on
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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",
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_(filters.get("fiscal_year")) + " ("+ _("Amt") + "):Currency:120"]
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query_details = " SUM(t2.stock_qty), SUM(t2.base_net_amount),"
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query_details += 'SUM(t2.stock_qty), SUM(t2.base_net_amount)'
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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.stock_qty, NULL)),
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SUM(IF(t1.%(trans_date)s BETWEEN '%(sd)s' AND '%(ed)s', t2.base_net_amount, 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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@frappe.whitelist(allow_guest=True)
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def get_period_date_ranges(period, fiscal_year=None, year_start_date=None):
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from dateutil.relativedelta import relativedelta
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if not year_start_date:
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year_start_date, year_end_date = frappe.db.get_value("Fiscal Year",
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fiscal_year, ["year_start_date", "year_end_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 range(1, 13, increment):
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period_end_date = getdate(year_start_date) + relativedelta(months=increment, days=-1)
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if period_end_date > getdate(year_end_date):
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period_end_date = year_end_date
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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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if period_end_date == year_end_date:
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break
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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_columns_query(based_on, trans):
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based_on_details = {}
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# based_on_cols, based_on_select, based_on_group_by, addl_tables
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if based_on == "Item":
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based_on_details["based_on_cols"] = ["Item:Link/Item:120", "Item Name:Data:120"]
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based_on_details["based_on_select"] = "t2.item_code, t2.item_name,"
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based_on_details["based_on_group_by"] = 't2.item_code'
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based_on_details["addl_tables"] = ''
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elif based_on == "Item Group":
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based_on_details["based_on_cols"] = ["Item Group:Link/Item Group:120"]
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based_on_details["based_on_select"] = "t2.item_group,"
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based_on_details["based_on_group_by"] = 't2.item_group'
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based_on_details["addl_tables"] = ''
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elif based_on == "Customer":
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based_on_details["based_on_cols"] = ["Customer:Link/Customer:120", "Territory:Link/Territory:120"]
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based_on_details["based_on_select"] = "t1.customer_name, t1.territory, "
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based_on_details["based_on_group_by"] = 't1.party_name' if trans == 'Quotation' else 't1.customer'
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based_on_details["addl_tables"] = ''
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elif based_on == "Customer Group":
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based_on_details["based_on_cols"] = ["Customer Group:Link/Customer Group"]
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based_on_details["based_on_select"] = "t1.customer_group,"
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based_on_details["based_on_group_by"] = 't1.customer_group'
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based_on_details["addl_tables"] = ''
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elif based_on == 'Supplier':
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based_on_details["based_on_cols"] = ["Supplier:Link/Supplier:120", "Supplier Group:Link/Supplier Group:140"]
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based_on_details["based_on_select"] = "t1.supplier, t3.supplier_group,"
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based_on_details["based_on_group_by"] = 't1.supplier'
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based_on_details["addl_tables"] = ',`tabSupplier` t3'
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based_on_details["addl_tables_relational_cond"] = " and t1.supplier = t3.name"
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elif based_on == 'Supplier Group':
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based_on_details["based_on_cols"] = ["Supplier Group:Link/Supplier Group:140"]
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based_on_details["based_on_select"] = "t3.supplier_group,"
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based_on_details["based_on_group_by"] = 't3.supplier_group'
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based_on_details["addl_tables"] = ',`tabSupplier` t3'
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based_on_details["addl_tables_relational_cond"] = " and t1.supplier = t3.name"
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elif based_on == "Territory":
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based_on_details["based_on_cols"] = ["Territory:Link/Territory:120"]
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based_on_details["based_on_select"] = "t1.territory,"
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based_on_details["based_on_group_by"] = 't1.territory'
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based_on_details["addl_tables"] = ''
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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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based_on_details["based_on_cols"] = ["Project:Link/Project:120"]
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based_on_details["based_on_select"] = "t1.project,"
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based_on_details["based_on_group_by"] = 't1.project'
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based_on_details["addl_tables"] = ''
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elif trans in ['Purchase Order', 'Purchase Invoice', 'Purchase Receipt']:
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based_on_details["based_on_cols"] = ["Project:Link/Project:120"]
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based_on_details["based_on_select"] = "t2.project,"
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based_on_details["based_on_group_by"] = 't2.project'
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based_on_details["addl_tables"] = ''
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else:
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frappe.throw(_("Project-wise data is not available for Quotation"))
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return based_on_details
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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 []
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