34c551d9a5
* fix: merge conflict * fix: restored missing set_gst_state_and_state_number function * fix: style linting as per codacy * fix: Fixes related to customer/lead merging * fix: merge conflict * fix: Fixes related to customer/lead merging * fix: Assign isue/opportunity to user * fix: Assign isue/opportunity to user * fix: Replaced Invoice type by GST Category * fix: merge conflict * fix: merge conflict * fix: test cases * fix: test cases
135 lines
3.6 KiB
Python
135 lines
3.6 KiB
Python
# Copyright (c) 2013, Frappe Technologies Pvt. Ltd. and contributors
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# For license information, please see license.txt
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from __future__ import unicode_literals
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import frappe
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from frappe import _
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from frappe.utils import flt
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def execute(filters=None):
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columns, data = [], []
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columns=get_columns("Campaign Name")
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data=get_lead_data(filters or {}, "Campaign Name")
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return columns, data
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def get_columns(based_on):
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return [
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{
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"fieldname": frappe.scrub(based_on),
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"label": _(based_on),
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"fieldtype": "Data",
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"width": 150
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},
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{
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"fieldname": "lead_count",
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"label": _("Lead Count"),
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"fieldtype": "Int",
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"width": 80
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},
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{
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"fieldname": "opp_count",
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"label": _("Opp Count"),
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"fieldtype": "Int",
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"width": 80
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},
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{
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"fieldname": "quot_count",
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"label": _("Quot Count"),
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"fieldtype": "Int",
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"width": 80
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},
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{
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"fieldname": "order_count",
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"label": _("Order Count"),
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"fieldtype": "Int",
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"width": 100
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},
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{
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"fieldname": "order_value",
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"label": _("Order Value"),
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"fieldtype": "Float",
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"width": 100
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},
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{
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"fieldname": "opp_lead",
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"label": _("Opp/Lead %"),
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"fieldtype": "Float",
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"width": 100
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},
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{
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"fieldname": "quot_lead",
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"label": _("Quot/Lead %"),
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"fieldtype": "Float",
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"width": 100
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},
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{
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"fieldname": "order_quot",
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"label": _("Order/Quot %"),
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"fieldtype": "Float",
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"width": 100
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}
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]
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def get_lead_data(filters, based_on):
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based_on_field = frappe.scrub(based_on)
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conditions = get_filter_conditions(filters)
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lead_details = frappe.db.sql("""
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select {based_on_field}, name
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from `tabLead`
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where {based_on_field} is not null and {based_on_field} != '' {conditions}
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""".format(based_on_field=based_on_field, conditions=conditions), filters, as_dict=1)
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lead_map = frappe._dict()
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for d in lead_details:
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lead_map.setdefault(d.get(based_on_field), []).append(d.name)
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data = []
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for based_on_value, leads in lead_map.items():
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row = {
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based_on_field: based_on_value,
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"lead_count": len(leads)
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}
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row["quot_count"]= get_lead_quotation_count(leads)
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row["opp_count"] = get_lead_opp_count(leads)
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row["order_count"] = get_quotation_ordered_count(leads)
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row["order_value"] = get_order_amount(leads) or 0
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row["opp_lead"] = flt(row["opp_count"]) / flt(row["lead_count"] or 1.0) * 100.0
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row["quot_lead"] = flt(row["quot_count"]) / flt(row["lead_count"] or 1.0) * 100.0
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row["order_quot"] = flt(row["order_count"]) / flt(row["quot_count"] or 1.0) * 100.0
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data.append(row)
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return data
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def get_filter_conditions(filters):
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conditions=""
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if filters.from_date:
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conditions += " and date(creation) >= %(from_date)s"
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if filters.to_date:
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conditions += " and date(creation) <= %(to_date)s"
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return conditions
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def get_lead_quotation_count(leads):
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return frappe.db.sql("""select count(name) from `tabQuotation`
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where quotation_to = 'Lead' and party_name in (%s)""" % ', '.join(["%s"]*len(leads)), tuple(leads))[0][0] #nosec
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def get_lead_opp_count(leads):
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return frappe.db.sql("""select count(name) from `tabOpportunity`
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where opportunity_from = 'Lead' and party_name in (%s)""" % ', '.join(["%s"]*len(leads)), tuple(leads))[0][0]
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def get_quotation_ordered_count(leads):
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return frappe.db.sql("""select count(name)
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from `tabQuotation` where status = 'Ordered' and quotation_to = 'Lead'
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and party_name in (%s)""" % ', '.join(["%s"]*len(leads)), tuple(leads))[0][0]
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def get_order_amount(leads):
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return frappe.db.sql("""select sum(base_net_amount)
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from `tabSales Order Item`
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where prevdoc_docname in (
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select name from `tabQuotation` where status = 'Ordered'
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and quotation_to = 'Lead' and party_name in (%s)
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)""" % ', '.join(["%s"]*len(leads)), tuple(leads))[0][0] |