390 lines
12 KiB
Python
390 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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import frappe
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from frappe import _
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from frappe.utils import getdate
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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 = (
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based_on_details["based_on_cols"]
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+ period_cols
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+ [_("Total(Qty)") + ":Float:120", _("Total(Amt)") + ":Currency:120"]
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)
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if group_by_cols:
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columns = (
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based_on_details["based_on_cols"]
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+ group_by_cols
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+ period_cols
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+ [_("Total(Qty)") + ":Float:120", _("Total(Amt)") + ":Currency:120"]
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)
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conditions = {
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"based_on_select": based_on_details["based_on_select"],
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"period_wise_select": period_select,
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"columns": columns,
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"group_by": based_on_details["based_on_group_by"],
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"grbc": group_by_cols,
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"trans": trans,
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"addl_tables": based_on_details["addl_tables"],
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"addl_tables_relational_cond": based_on_details.get("addl_tables_relational_cond", ""),
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}
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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 [
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"Sales Invoice",
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"Purchase Invoice",
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"Purchase Receipt",
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"Delivery Note",
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]:
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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(
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"Fiscal Year", filters.get("fiscal_year"), ["year_start_date", "year_end_date"]
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)
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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(
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""" 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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% (
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query_details,
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conditions["trans"],
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conditions["trans"],
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conditions["addl_tables"],
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"%s",
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posting_date,
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"%s",
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"%s",
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conditions.get("addl_tables_relational_cond"),
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cond,
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conditions["group_by"],
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),
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(filters.get("company"), year_start_date, year_end_date),
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as_list=1,
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)
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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(
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"""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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% (
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sel_col,
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conditions["trans"],
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conditions["trans"],
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conditions["addl_tables"],
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"%s",
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posting_date,
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"%s",
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"%s",
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conditions["group_by"],
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"%s",
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conditions.get("addl_tables_relational_cond"),
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cond,
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),
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(filters.get("company"), year_start_date, year_end_date, data1[d][0]),
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as_list=1,
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)
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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(
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""" 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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% (
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sel_col,
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conditions["period_wise_select"],
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conditions["trans"],
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conditions["trans"],
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conditions["addl_tables"],
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"%s",
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posting_date,
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"%s",
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"%s",
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sel_col,
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"%s",
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conditions["group_by"],
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"%s",
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conditions.get("addl_tables_relational_cond"),
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cond,
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),
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(filters.get("company"), year_start_date, year_end_date, row[i][0], data1[d][0]),
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as_list=1,
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)
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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(
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""" 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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% (
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query_details,
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conditions["trans"],
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conditions["trans"],
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conditions["addl_tables"],
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"%s",
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posting_date,
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"%s",
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"%s",
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cond,
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conditions.get("addl_tables_relational_cond", ""),
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conditions["group_by"],
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),
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(filters.get("company"), year_start_date, year_end_date),
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as_list=1,
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)
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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 = [
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_(filters.get("fiscal_year")) + " (" + _("Qty") + "):Float:120",
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_(filters.get("fiscal_year")) + " (" + _("Amt") + "):Currency:120",
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]
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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 += [
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_(get_mon(bet_dates[0])) + " (" + _("Qty") + "):Float:120",
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_(get_mon(bet_dates[0])) + " (" + _("Amt") + "):Currency:120",
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]
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else:
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pwc += [
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_(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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]
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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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""" % {
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"trans_date": trans_date,
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"sd": bet_dates[0],
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"ed": bet_dates[1],
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}
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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(
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"Fiscal Year", fiscal_year, ["year_start_date", "year_end_date"]
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)
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increment = {"Monthly": 1, "Quarterly": 3, "Half-Yearly": 6, "Yearly": 12}.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"] = [
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"Customer:Link/Customer:120",
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"Territory:Link/Territory:120",
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]
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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"] = (
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"t1.party_name" if trans == "Quotation" else "t1.customer"
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)
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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"] = [
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"Supplier:Link/Supplier:120",
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"Supplier Group:Link/Supplier Group:140",
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]
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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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