# Copyright (c) 2013, Web Notes Technologies Pvt. Ltd. and Contributors # License: GNU General Public License v3. See license.txt from __future__ import unicode_literals import frappe from frappe.utils import getdate from frappe import _ def get_columns(filters, trans): validate_filters(filters) # get conditions for based_on filter cond based_on_details = based_wise_columns_query(filters.get("based_on"), trans) # get conditions for periodic filter cond period_cols, period_select = period_wise_columns_query(filters, trans) # get conditions for grouping filter cond group_by_cols = group_wise_column(filters.get("group_by")) columns = based_on_details["based_on_cols"] + period_cols + ["Total(Qty):Float:120", "Total(Amt):Currency:120"] if group_by_cols: columns = based_on_details["based_on_cols"] + group_by_cols + period_cols + \ ["Total(Qty):Float:120", "Total(Amt):Currency:120"] conditions = {"based_on_select": based_on_details["based_on_select"], "period_wise_select": period_select, "columns": columns, "group_by": based_on_details["based_on_group_by"], "grbc": group_by_cols, "trans": trans, "addl_tables": based_on_details["addl_tables"]} return conditions def validate_filters(filters): for f in ["Fiscal Year", "Based On", "Period", "Company"]: if not filters.get(f.lower().replace(" ", "_")): frappe.throw(_("{0} is mandatory").format(f)) if filters.get("based_on") == filters.get("group_by"): frappe.throw(_("'Based On' and 'Group By' can not be same")) def get_data(filters, conditions): data = [] inc, cond= '','' query_details = conditions["based_on_select"] + conditions["period_wise_select"] if conditions["based_on_select"] in ["t1.project_name,", "t2.project_name,"]: cond = 'and '+ conditions["based_on_select"][:-1] +' IS Not NULL' if filters.get("group_by"): sel_col = '' ind = conditions["columns"].index(conditions["grbc"][0]) if filters.get("group_by") == 'Item': sel_col = 't2.item_code' elif filters.get("group_by") == 'Customer': sel_col = 't1.customer' elif filters.get("group_by") == 'Supplier': sel_col = 't1.supplier' if filters.get('based_on') in ['Item','Customer','Supplier']: inc = 2 else : inc = 1 data1 = frappe.db.sql(""" select %s from `tab%s` t1, `tab%s Item` t2 %s where t2.parent = t1.name and t1.company = %s and t1.fiscal_year = %s and t1.docstatus = 1 %s group by %s """ % (query_details, conditions["trans"], conditions["trans"], conditions["addl_tables"], "%s", "%s", cond, conditions["group_by"]), (filters.get("company"), filters["fiscal_year"]),as_list=1) for d in range(len(data1)): #to add blanck column dt = data1[d] dt.insert(ind,'') data.append(dt) #to get distinct value of col specified by group_by in filter row = frappe.db.sql("""select DISTINCT(%s) from `tab%s` t1, `tab%s Item` t2 %s where t2.parent = t1.name and t1.company = %s and t1.fiscal_year = %s and t1.docstatus = 1 and %s = %s """ % (sel_col, conditions["trans"], conditions["trans"], conditions["addl_tables"], "%s", "%s", conditions["group_by"], "%s"), (filters.get("company"), filters.get("fiscal_year"), data1[d][0]), as_list=1) for i in range(len(row)): des = ['' for q in range(len(conditions["columns"]))] #get data for group_by filter row1 = frappe.db.sql(""" select %s , %s from `tab%s` t1, `tab%s Item` t2 %s where t2.parent = t1.name and t1.company = %s and t1.fiscal_year = %s and t1.docstatus = 1 and %s = %s and %s = %s """ % (sel_col, conditions["period_wise_select"], conditions["trans"], conditions["trans"], conditions["addl_tables"], "%s", "%s", sel_col, "%s", conditions["group_by"], "%s"), (filters.get("company"), filters.get("fiscal_year"), row[i][0], data1[d][0]), as_list=1) des[ind] = row[i] for j in range(1,len(conditions["columns"])-inc): des[j+inc] = row1[0][j] data.append(des) else: data = frappe.db.sql(""" select %s from `tab%s` t1, `tab%s Item` t2 %s where t2.parent = t1.name and t1.company = %s and t1.fiscal_year = %s and t1.docstatus = 1 %s group by %s """ % (query_details, conditions["trans"], conditions["trans"], conditions["addl_tables"], "%s", "%s", cond,conditions["group_by"]), (filters.get("company"), filters.get("fiscal_year")), as_list=1) return data def get_mon(dt): return getdate(dt).strftime("%b") def period_wise_columns_query(filters, trans): query_details = '' pwc = [] bet_dates = get_period_date_ranges(filters.get("period"), filters.get("fiscal_year")) if trans in ['Purchase Receipt', 'Delivery Note', 'Purchase Invoice', 'Sales Invoice']: trans_date = 'posting_date' else: trans_date = 'transaction_date' if filters.get("period") != 'Yearly': for dt in bet_dates: get_period_wise_columns(dt, filters.get("period"), pwc) query_details = get_period_wise_query(dt, trans_date, query_details) else: pwc = [filters.get("fiscal_year") + " (Qty):Float:120", filters.get("fiscal_year") + " (Amt):Currency:120"] query_details = " SUM(t2.qty), SUM(t2.base_amount)," query_details += 'SUM(t2.qty), SUM(t2.base_amount)' return pwc, query_details def get_period_wise_columns(bet_dates, period, pwc): if period == 'Monthly': pwc += [get_mon(bet_dates[0]) + " (Qty):Float:120", get_mon(bet_dates[0]) + " (Amt):Currency:120"] else: pwc += [get_mon(bet_dates[0]) + "-" + get_mon(bet_dates[1]) + " (Qty):Float:120", get_mon(bet_dates[0]) + "-" + get_mon(bet_dates[1]) + " (Amt):Currency:120"] def get_period_wise_query(bet_dates, trans_date, query_details): query_details += """SUM(IF(t1.%(trans_date)s BETWEEN '%(sd)s' AND '%(ed)s', t2.qty, NULL)), SUM(IF(t1.%(trans_date)s BETWEEN '%(sd)s' AND '%(ed)s', t2.base_amount, NULL)), """ % {"trans_date": trans_date, "sd": bet_dates[0],"ed": bet_dates[1]} return query_details @frappe.whitelist(allow_guest=True) def get_period_date_ranges(period, fiscal_year=None, year_start_date=None): from dateutil.relativedelta import relativedelta if not year_start_date: year_start_date, year_end_date = frappe.db.get_value("Fiscal Year", fiscal_year, ["year_start_date", "year_end_date"]) increment = { "Monthly": 1, "Quarterly": 3, "Half-Yearly": 6, "Yearly": 12 }.get(period) period_date_ranges = [] for i in xrange(1, 13, increment): period_end_date = getdate(year_start_date) + relativedelta(months=increment, days=-1) if period_end_date > getdate(year_end_date): period_end_date = year_end_date period_date_ranges.append([year_start_date, period_end_date]) year_start_date = period_end_date + relativedelta(days=1) if period_end_date == year_end_date: break return period_date_ranges def get_period_month_ranges(period, fiscal_year): from dateutil.relativedelta import relativedelta period_month_ranges = [] for start_date, end_date in get_period_date_ranges(period, fiscal_year): months_in_this_period = [] while start_date <= end_date: months_in_this_period.append(start_date.strftime("%B")) start_date += relativedelta(months=1) period_month_ranges.append(months_in_this_period) return period_month_ranges def based_wise_columns_query(based_on, trans): based_on_details = {} # based_on_cols, based_on_select, based_on_group_by, addl_tables if based_on == "Item": based_on_details["based_on_cols"] = ["Item:Link/Item:120", "Item Name:Data:120"] based_on_details["based_on_select"] = "t2.item_code, t2.item_name," based_on_details["based_on_group_by"] = 't2.item_code' based_on_details["addl_tables"] = '' elif based_on == "Item Group": based_on_details["based_on_cols"] = ["Item Group:Link/Item Group:120"] based_on_details["based_on_select"] = "t2.item_group," based_on_details["based_on_group_by"] = 't2.item_group' based_on_details["addl_tables"] = '' elif based_on == "Customer": based_on_details["based_on_cols"] = ["Customer:Link/Customer:120", "Territory:Link/Territory:120"] based_on_details["based_on_select"] = "t1.customer_name, t1.territory, " based_on_details["based_on_group_by"] = 't1.customer_name' based_on_details["addl_tables"] = '' elif based_on == "Customer Group": based_on_details["based_on_cols"] = ["Customer Group:Link/Customer Group"] based_on_details["based_on_select"] = "t1.customer_group," based_on_details["based_on_group_by"] = 't1.customer_group' based_on_details["addl_tables"] = '' elif based_on == 'Supplier': based_on_details["based_on_cols"] = ["Supplier:Link/Supplier:120", "Supplier Type:Link/Supplier Type:140"] based_on_details["based_on_select"] = "t1.supplier, t3.supplier_type," based_on_details["based_on_group_by"] = 't1.supplier' based_on_details["addl_tables"] = ',`tabSupplier` t3' elif based_on == 'Supplier Type': based_on_details["based_on_cols"] = ["Supplier Type:Link/Supplier Type:140"] based_on_details["based_on_select"] = "t3.supplier_type," based_on_details["based_on_group_by"] = 't3.supplier_type' based_on_details["addl_tables"] =',`tabSupplier` t3' elif based_on == "Territory": based_on_details["based_on_cols"] = ["Territory:Link/Territory:120"] based_on_details["based_on_select"] = "t1.territory," based_on_details["based_on_group_by"] = 't1.territory' based_on_details["addl_tables"] = '' elif based_on == "Project": if trans in ['Sales Invoice', 'Delivery Note', 'Sales Order']: based_on_details["based_on_cols"] = ["Project:Link/Project:120"] based_on_details["based_on_select"] = "t1.project_name," based_on_details["based_on_group_by"] = 't1.project_name' based_on_details["addl_tables"] = '' elif trans in ['Purchase Order', 'Purchase Invoice', 'Purchase Receipt']: based_on_details["based_on_cols"] = ["Project:Link/Project:120"] based_on_details["based_on_select"] = "t2.project_name," based_on_details["based_on_group_by"] = 't2.project_name' based_on_details["addl_tables"] = '' else: frappe.throw(_("Project-wise data is not available for Quotation")) return based_on_details def group_wise_column(group_by): if group_by: return [group_by+":Link/"+group_by+":120"] else: return []