feat(CRM): Sales Pipeline Analytics Report and Opportunity Summary by Sales Stage Report (#26639)

* feat: Sales Pipeline Analytics Report

* fix: sider Issues and added tests

* fix: Semgrep Issue

* feat: Opportunity Summary by Sales Stage Report

* fix: add some checks and tests

* fix: sider issues and test

* fix: additional checks for error handling and minor changes

* fix: remove unused conditions

* fix: Changes mentioned on PR

* fix: currency conversions and other changes

* fix: remove unused imports

* fix: correction for failing test case

* fix: recorrected failing test case

* fix: sider issues and resolve test case errors

* fix: rewrite query using query builder

* fix: test case changes

* fix: sider fixes and other changes

* fix: clear data before running test

* fix: test case fixed

* refactor: code formatting

- smaller functions

- variable and function naming

* refactor: improve code formatting

* fix: linter issues

* fix: linter issues

* fix: change indentation to tabs

* fix: linter issues

* fix: naming, code formatting

* fix: quarterly values not showing up in Sales Pipeline Analytics

* fix: typo in tests

Co-authored-by: Rucha Mahabal <ruchamahabal2@gmail.com>
This commit is contained in:
Mohammed Yusuf Shaikh 2021-09-07 10:49:34 +05:30 committed by GitHub
parent 88c9fe35bd
commit d795e55694
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11 changed files with 1131 additions and 1 deletions

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// Copyright (c) 2016, Frappe Technologies Pvt. Ltd. and contributors
// For license information, please see license.txt
/* eslint-disable */
frappe.query_reports["Opportunity Summary by Sales Stage"] = {
"filters": [
{
fieldname: "based_on",
label: __("Based On"),
fieldtype: "Select",
options: "Opportunity Owner\nSource\nOpportunity Type",
default: "Opportunity Owner"
},
{
fieldname: "data_based_on",
label: __("Data Based On"),
fieldtype: "Select",
options: "Number\nAmount",
default: "Number"
},
{
fieldname: "from_date",
label: __("From Date"),
fieldtype: "Date",
},
{
fieldname: "to_date",
label: __("To Date"),
fieldtype: "Date",
},
{
fieldname: "status",
label: __("Status"),
fieldtype: "MultiSelectList",
get_data: function() {
return [
{value: "Open", description: "Status"},
{value: "Converted", description: "Status"},
{value: "Quotation", description: "Status"},
{value: "Replied", description: "Status"}
]
}
},
{
fieldname: "opportunity_source",
label: __("Oppoturnity Source"),
fieldtype: "Link",
options: "Lead Source",
},
{
fieldname: "opportunity_type",
label: __("Opportunity Type"),
fieldtype: "Link",
options: "Opportunity Type",
},
{
fieldname: "company",
label: __("Company"),
fieldtype: "Link",
options: "Company",
default: frappe.defaults.get_user_default("Company")
}
]
};

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{
"add_total_row": 0,
"columns": [],
"creation": "2021-07-28 12:18:24.028737",
"disable_prepared_report": 0,
"disabled": 0,
"docstatus": 0,
"doctype": "Report",
"filters": [],
"idx": 0,
"is_standard": "Yes",
"modified": "2021-07-28 12:18:24.028737",
"modified_by": "Administrator",
"module": "CRM",
"name": "Opportunity Summary by Sales Stage",
"owner": "Administrator",
"prepared_report": 0,
"ref_doctype": "Opportunity",
"report_name": "Opportunity Summary by Sales Stage ",
"report_type": "Script Report",
"roles": [
{
"role": "Sales User"
},
{
"role": "Sales Manager"
}
]
}

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# Copyright (c) 2013, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
import json
import frappe
import pandas
from frappe import _
from frappe.utils import flt
from six import iteritems
from erpnext.setup.utils import get_exchange_rate
def execute(filters=None):
return OpportunitySummaryBySalesStage(filters).run()
class OpportunitySummaryBySalesStage(object):
def __init__(self,filters=None):
self.filters = frappe._dict(filters or {})
def run(self):
self.get_columns()
self.get_data()
self.get_chart_data()
return self.columns, self.data, None, self.chart
def get_columns(self):
self.columns = []
if self.filters.get('based_on') == 'Opportunity Owner':
self.columns.append({
'label': _('Opportunity Owner'),
'fieldname': 'opportunity_owner',
'width': 200
})
if self.filters.get('based_on') == 'Source':
self.columns.append({
'label': _('Source'),
'fieldname': 'source',
'fieldtype': 'Link',
'options': 'Lead Source',
'width': 200
})
if self.filters.get('based_on') == 'Opportunity Type':
self.columns.append({
'label': _('Opportunity Type'),
'fieldname': 'opportunity_type',
'width': 200
})
self.set_sales_stage_columns()
def set_sales_stage_columns(self):
self.sales_stage_list = frappe.db.get_list('Sales Stage', pluck='name')
for sales_stage in self.sales_stage_list:
if self.filters.get('data_based_on') == 'Number':
self.columns.append({
'label': _(sales_stage),
'fieldname': sales_stage,
'fieldtype': 'Int',
'width': 150
})
elif self.filters.get('data_based_on') == 'Amount':
self.columns.append({
'label': _(sales_stage),
'fieldname': sales_stage,
'fieldtype': 'Currency',
'width': 150
})
def get_data(self):
self.data = []
based_on = {
'Opportunity Owner': '_assign',
'Source': 'source',
'Opportunity Type': 'opportunity_type'
}[self.filters.get('based_on')]
data_based_on = {
'Number': 'count(name) as count',
'Amount': 'opportunity_amount as amount',
}[self.filters.get('data_based_on')]
self.get_data_query(based_on, data_based_on)
self.get_rows()
def get_data_query(self, based_on, data_based_on):
if self.filters.get('data_based_on') == 'Number':
group_by = '{},{}'.format('sales_stage', based_on)
self.query_result = frappe.db.get_list('Opportunity',
filters=self.get_conditions(),
fields=['sales_stage', data_based_on, based_on],
group_by=group_by
)
elif self.filters.get('data_based_on') == 'Amount':
self.query_result = frappe.db.get_list('Opportunity',
filters=self.get_conditions(),
fields=['sales_stage', based_on, data_based_on, 'currency']
)
self.convert_to_base_currency()
dataframe = pandas.DataFrame.from_records(self.query_result)
dataframe.replace(to_replace=[None], value='Not Assigned', inplace=True)
result = dataframe.groupby(['sales_stage', based_on], as_index=False)['amount'].sum()
self.grouped_data = []
for i in range(len(result['amount'])):
self.grouped_data.append({
'sales_stage': result['sales_stage'][i],
based_on : result[based_on][i],
'amount': result['amount'][i]
})
self.query_result = self.grouped_data
def get_rows(self):
self.data = []
self.get_formatted_data()
for based_on,data in iteritems(self.formatted_data):
row_based_on={
'Opportunity Owner': 'opportunity_owner',
'Source': 'source',
'Opportunity Type': 'opportunity_type'
}[self.filters.get('based_on')]
row = {row_based_on: based_on}
for d in self.query_result:
sales_stage = d.get('sales_stage')
row[sales_stage] = data.get(sales_stage)
self.data.append(row)
def get_formatted_data(self):
self.formatted_data = frappe._dict()
for d in self.query_result:
data_based_on ={
'Number': 'count',
'Amount': 'amount'
}[self.filters.get('data_based_on')]
based_on ={
'Opportunity Owner': '_assign',
'Source': 'source',
'Opportunity Type': 'opportunity_type'
}[self.filters.get('based_on')]
if self.filters.get('based_on') == 'Opportunity Owner':
if d.get(based_on) == '[]' or d.get(based_on) is None or d.get(based_on) == 'Not Assigned':
assignments = ['Not Assigned']
else:
assignments = json.loads(d.get(based_on))
sales_stage = d.get('sales_stage')
count = d.get(data_based_on)
if assignments:
if len(assignments) > 1:
for assigned_to in assignments:
self.set_formatted_data_based_on_sales_stage(assigned_to, sales_stage, count)
else:
assigned_to = assignments[0]
self.set_formatted_data_based_on_sales_stage(assigned_to, sales_stage, count)
else:
value = d.get(based_on)
sales_stage = d.get('sales_stage')
count = d.get(data_based_on)
self.set_formatted_data_based_on_sales_stage(value, sales_stage, count)
def set_formatted_data_based_on_sales_stage(self, based_on, sales_stage, count):
self.formatted_data.setdefault(based_on, frappe._dict()).setdefault(sales_stage, 0)
self.formatted_data[based_on][sales_stage] += count
def get_conditions(self):
filters = []
if self.filters.get('company'):
filters.append({'company': self.filters.get('company')})
if self.filters.get('opportunity_type'):
filters.append({'opportunity_type': self.filters.get('opportunity_type')})
if self.filters.get('opportunity_source'):
filters.append({'source': self.filters.get('opportunity_source')})
if self.filters.get('status'):
filters.append({'status': ('in',self.filters.get('status'))})
if self.filters.get('from_date') and self.filters.get('to_date'):
filters.append(['transaction_date', 'between', [self.filters.get('from_date'), self.filters.get('to_date')]])
return filters
def get_chart_data(self):
labels = []
datasets = []
values = [0] * 8
for sales_stage in self.sales_stage_list:
labels.append(sales_stage)
options = {
'Number': 'count',
'Amount': 'amount'
}[self.filters.get('data_based_on')]
for data in self.query_result:
for count in range(len(values)):
if data['sales_stage'] == labels[count]:
values[count] = values[count] + data[options]
datasets.append({'name':options, 'values':values})
self.chart = {
'data':{
'labels': labels,
'datasets': datasets
},
'type':'line'
}
def currency_conversion(self,from_currency,to_currency):
cacheobj = frappe.cache()
if cacheobj.get(from_currency):
return flt(str(cacheobj.get(from_currency),'UTF-8'))
else:
value = get_exchange_rate(from_currency,to_currency)
cacheobj.set(from_currency,value)
return flt(str(cacheobj.get(from_currency),'UTF-8'))
def get_default_currency(self):
company = self.filters.get('company')
return frappe.db.get_value('Company', company, 'default_currency')
def convert_to_base_currency(self):
default_currency = self.get_default_currency()
for data in self.query_result:
if data.get('currency') != default_currency:
opportunity_currency = data.get('currency')
value = self.currency_conversion(opportunity_currency,default_currency)
data['amount'] = data['amount'] * value

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import unittest
import frappe
from erpnext.crm.report.opportunity_summary_by_sales_stage.opportunity_summary_by_sales_stage import (
execute,
)
from erpnext.crm.report.sales_pipeline_analytics.test_sales_pipeline_analytics import (
create_company,
create_customer,
create_opportunity,
)
class TestOpportunitySummaryBySalesStage(unittest.TestCase):
@classmethod
def setUpClass(self):
frappe.db.delete("Opportunity")
create_company()
create_customer()
create_opportunity()
def test_opportunity_summary_by_sales_stage(self):
self.check_for_opportunity_owner()
self.check_for_source()
self.check_for_opportunity_type()
self.check_all_filters()
def check_for_opportunity_owner(self):
filters = {
'based_on': "Opportunity Owner",
'data_based_on': "Number",
'company': "Best Test"
}
report = execute(filters)
expected_data = [{
'opportunity_owner': "Not Assigned",
'Prospecting': 1
}]
self.assertEqual(expected_data, report[1])
def check_for_source(self):
filters = {
'based_on': "Source",
'data_based_on': "Number",
'company': "Best Test"
}
report = execute(filters)
expected_data = [{
'source': 'Cold Calling',
'Prospecting': 1
}]
self.assertEqual(expected_data, report[1])
def check_for_opportunity_type(self):
filters = {
'based_on': "Opportunity Type",
'data_based_on': "Number",
'company': "Best Test"
}
report = execute(filters)
expected_data = [{
'opportunity_type': 'Sales',
'Prospecting': 1
}]
self.assertEqual(expected_data, report[1])
def check_all_filters(self):
filters = {
'based_on': "Opportunity Type",
'data_based_on': "Number",
'company': "Best Test",
'opportunity_source': "Cold Calling",
'opportunity_type': "Sales",
'status': ["Open"]
}
report = execute(filters)
expected_data = [{
'opportunity_type': 'Sales',
'Prospecting': 1
}]
self.assertEqual(expected_data, report[1])

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// Copyright (c) 2016, Frappe Technologies Pvt. Ltd. and contributors
// For license information, please see license.txt
/* eslint-disable */
frappe.query_reports["Sales Pipeline Analytics"] = {
"filters": [
{
fieldname: "pipeline_by",
label: __("Pipeline By"),
fieldtype: "Select",
options: "Owner\nSales Stage",
default: "Owner"
},
{
fieldname: "from_date",
label: __("From Date"),
fieldtype: "Date"
},
{
fieldname: "to_date",
label: __("To Date"),
fieldtype: "Date"
},
{
fieldname: "range",
label: __("Range"),
fieldtype: "Select",
options: "Monthly\nQuarterly",
default: "Monthly"
},
{
fieldname: "assigned_to",
label: __("Assigned To"),
fieldtype: "Link",
options: "User"
},
{
fieldname: "status",
label: __("Status"),
fieldtype: "Select",
options: "Open\nQuotation\nConverted\nReplied"
},
{
fieldname: "based_on",
label: __("Based On"),
fieldtype: "Select",
options: "Number\nAmount",
default: "Number"
},
{
fieldname: "company",
label: __("Company"),
fieldtype: "Link",
options: "Company",
default: frappe.defaults.get_user_default("Company")
},
{
fieldname: "opportunity_source",
label: __("Opportunity Source"),
fieldtype: "Link",
options: "Lead Source"
},
{
fieldname: "opportunity_type",
label: __("Opportunity Type"),
fieldtype: "Link",
options: "Opportunity Type"
},
]
};

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{
"add_total_row": 0,
"columns": [],
"creation": "2021-07-01 17:29:09.530787",
"disable_prepared_report": 0,
"disabled": 0,
"docstatus": 0,
"doctype": "Report",
"filters": [],
"idx": 0,
"is_standard": "Yes",
"modified": "2021-07-01 17:45:17.612861",
"modified_by": "Administrator",
"module": "CRM",
"name": "Sales Pipeline Analytics",
"owner": "Administrator",
"prepared_report": 0,
"ref_doctype": "Opportunity",
"report_name": "Sales Pipeline Analytics",
"report_type": "Script Report",
"roles": [
{
"role": "Sales User"
},
{
"role": "Sales Manager"
}
]
}

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# Copyright (c) 2013, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
import json
from datetime import date
import frappe
import pandas
from dateutil.relativedelta import relativedelta
from frappe import _
from frappe.utils import cint, flt
from six import iteritems
from erpnext.setup.utils import get_exchange_rate
def execute(filters=None):
return SalesPipelineAnalytics(filters).run()
class SalesPipelineAnalytics(object):
def __init__(self, filters=None):
self.filters = frappe._dict(filters or {})
def run(self):
self.get_columns()
self.get_data()
self.get_chart_data()
return self.columns, self.data, None, self.chart
def get_columns(self):
self.columns = []
self.set_range_columns()
self.set_pipeline_based_on_column()
def set_range_columns(self):
based_on = {
'Number': 'Int',
'Amount': 'Currency'
}[self.filters.get('based_on')]
if self.filters.get('range') == 'Monthly':
month_list = self.get_month_list()
for month in month_list:
self.columns.append({
'fieldname': month,
'fieldtype': based_on,
'label': month,
'width': 200
})
elif self.filters.get('range') == 'Quarterly':
for quarter in range(1, 5):
self.columns.append({
'fieldname': f'Q{quarter}',
'fieldtype': based_on,
'label': f'Q{quarter}',
'width': 200
})
def set_pipeline_based_on_column(self):
if self.filters.get('pipeline_by') == 'Owner':
self.columns.insert(0, {
'fieldname': 'opportunity_owner',
'label': _('Opportunity Owner'),
'width': 200
})
elif self.filters.get('pipeline_by') == 'Sales Stage':
self.columns.insert(0, {
'fieldname': 'sales_stage',
'label': _('Sales Stage'),
'width': 200
})
def get_fields(self):
self.based_on ={
'Owner': '_assign as opportunity_owner',
'Sales Stage': 'sales_stage'
}[self.filters.get('pipeline_by')]
self.data_based_on ={
'Number': 'count(name) as count',
'Amount': 'opportunity_amount as amount'
}[self.filters.get('based_on')]
self.group_by_based_on = {
'Owner': '_assign',
'Sales Stage': 'sales_stage'
}[self.filters.get('pipeline_by')]
self.group_by_period = {
'Monthly': 'month(expected_closing)',
'Quarterly': 'QUARTER(expected_closing)'
}[self.filters.get('range')]
self.pipeline_by = {
'Owner': 'opportunity_owner',
'Sales Stage': 'sales_stage'
}[self.filters.get('pipeline_by')]
self.duration = {
'Monthly': 'monthname(expected_closing) as month',
'Quarterly': 'QUARTER(expected_closing) as quarter'
}[self.filters.get('range')]
self.period_by = {
'Monthly': 'month',
'Quarterly': 'quarter'
}[self.filters.get('range')]
def get_data(self):
self.get_fields()
if self.filters.get('based_on') == 'Number':
self.query_result = frappe.db.get_list('Opportunity',
filters=self.get_conditions(),
fields=[self.based_on, self.data_based_on, self.duration],
group_by='{},{}'.format(self.group_by_based_on, self.group_by_period),
order_by=self.group_by_period
)
if self.filters.get('based_on') == 'Amount':
self.query_result = frappe.db.get_list('Opportunity',
filters=self.get_conditions(),
fields=[self.based_on, self.data_based_on, self.duration, 'currency']
)
self.convert_to_base_currency()
dataframe = pandas.DataFrame.from_records(self.query_result)
dataframe.replace(to_replace=[None], value='Not Assigned', inplace=True)
result = dataframe.groupby([self.pipeline_by, self.period_by], as_index=False)['amount'].sum()
self.grouped_data = []
for i in range(len(result['amount'])):
self.grouped_data.append({
self.pipeline_by : result[self.pipeline_by][i],
self.period_by : result[self.period_by][i],
'amount': result['amount'][i]
})
self.query_result = self.grouped_data
self.get_periodic_data()
self.append_data(self.pipeline_by, self.period_by)
def get_conditions(self):
conditions = []
if self.filters.get('opportunity_source'):
conditions.append({'source': self.filters.get('opportunity_source')})
if self.filters.get('opportunity_type'):
conditions.append({'opportunity_type': self.filters.get('opportunity_type')})
if self.filters.get('status'):
conditions.append({'status': self.filters.get('status')})
if self.filters.get('company'):
conditions.append({'company': self.filters.get('company')})
if self.filters.get('from_date') and self.filters.get('to_date'):
conditions.append(['expected_closing', 'between',
[self.filters.get('from_date'), self.filters.get('to_date')]])
return conditions
def get_chart_data(self):
labels = []
datasets = []
self.append_to_dataset(datasets)
for column in self.columns:
if column['fieldname'] != 'opportunity_owner' and column['fieldname'] != 'sales_stage':
labels.append(column['fieldname'])
self.chart = {
'data':{
'labels': labels,
'datasets': datasets
},
'type':'line'
}
return self.chart
def get_periodic_data(self):
self.periodic_data = frappe._dict()
based_on = {
'Number': 'count',
'Amount': 'amount'
}[self.filters.get('based_on')]
pipeline_by = {
'Owner': 'opportunity_owner',
'Sales Stage': 'sales_stage'
}[self.filters.get('pipeline_by')]
frequency = {
'Monthly': 'month',
'Quarterly': 'quarter'
}[self.filters.get('range')]
for info in self.query_result:
if self.filters.get('range') == 'Monthly':
period = info.get(frequency)
if self.filters.get('range') == 'Quarterly':
period = f'Q{cint(info.get("quarter"))}'
value = info.get(pipeline_by)
count_or_amount = info.get(based_on)
if self.filters.get('pipeline_by') == 'Owner':
if value == 'Not Assigned' or value == '[]' or value is None:
assigned_to = ['Not Assigned']
else:
assigned_to = json.loads(value)
self.check_for_assigned_to(period, value, count_or_amount, assigned_to, info)
else:
self.set_formatted_data(period, value, count_or_amount, None)
def set_formatted_data(self, period, value, count_or_amount, assigned_to):
if assigned_to:
if len(assigned_to) > 1:
if self.filters.get('assigned_to'):
for user in assigned_to:
if self.filters.get('assigned_to') == user:
value = user
self.periodic_data.setdefault(value, frappe._dict()).setdefault(period, 0)
self.periodic_data[value][period] += count_or_amount
else:
for user in assigned_to:
value = user
self.periodic_data.setdefault(value, frappe._dict()).setdefault(period, 0)
self.periodic_data[value][period] += count_or_amount
else:
value = assigned_to[0]
self.periodic_data.setdefault(value, frappe._dict()).setdefault(period, 0)
self.periodic_data[value][period] += count_or_amount
else:
self.periodic_data.setdefault(value, frappe._dict()).setdefault(period, 0)
self.periodic_data[value][period] += count_or_amount
def check_for_assigned_to(self, period, value, count_or_amount, assigned_to, info):
if self.filters.get('assigned_to'):
for data in json.loads(info.get('opportunity_owner')):
if data == self.filters.get('assigned_to'):
self.set_formatted_data(period, data, count_or_amount, assigned_to)
else:
self.set_formatted_data(period, value, count_or_amount, assigned_to)
def get_month_list(self):
month_list= []
current_date = date.today()
month_number = date.today().month
for month in range(month_number,13):
month_list.append(current_date.strftime('%B'))
current_date = current_date + relativedelta(months=1)
return month_list
def append_to_dataset(self, datasets):
range_by = {
'Monthly': 'month',
'Quarterly': 'quarter'
}[self.filters.get('range')]
based_on = {
'Amount': 'amount',
'Number': 'count'
}[self.filters.get('based_on')]
if self.filters.get('range') == 'Quarterly':
frequency_list = [1,2,3,4]
count = [0] * 4
if self.filters.get('range') == 'Monthly':
frequency_list = self.get_month_list()
count = [0] * 12
for info in self.query_result:
for i in range(len(frequency_list)):
if info[range_by] == frequency_list[i]:
count[i] = count[i] + info[based_on]
datasets.append({'name': based_on, 'values': count})
def append_data(self, pipeline_by, period_by):
self.data = []
for pipeline,period_data in iteritems(self.periodic_data):
row = {pipeline_by : pipeline}
for info in self.query_result:
if self.filters.get('range') == 'Monthly':
period = info.get(period_by)
if self.filters.get('range') == 'Quarterly':
period = f'Q{cint(info.get(period_by))}'
count = period_data.get(period,0.0)
row[period] = count
self.data.append(row)
def get_default_currency(self):
company = self.filters.get('company')
return frappe.db.get_value('Company',company,['default_currency'])
def get_currency_rate(self, from_currency, to_currency):
cacheobj = frappe.cache()
if cacheobj.get(from_currency):
return flt(str(cacheobj.get(from_currency),'UTF-8'))
else:
value = get_exchange_rate(from_currency, to_currency)
cacheobj.set(from_currency, value)
return flt(str(cacheobj.get(from_currency),'UTF-8'))
def convert_to_base_currency(self):
default_currency = self.get_default_currency()
for data in self.query_result:
if data.get('currency') != default_currency:
opportunity_currency = data.get('currency')
value = self.get_currency_rate(opportunity_currency,default_currency)
data['amount'] = data['amount'] * value

View File

@ -0,0 +1,238 @@
import unittest
import frappe
from erpnext.crm.report.sales_pipeline_analytics.sales_pipeline_analytics import execute
class TestSalesPipelineAnalytics(unittest.TestCase):
@classmethod
def setUpClass(self):
frappe.db.delete("Opportunity")
create_company()
create_customer()
create_opportunity()
def test_sales_pipeline_analytics(self):
self.check_for_monthly_and_number()
self.check_for_monthly_and_amount()
self.check_for_quarterly_and_number()
self.check_for_quarterly_and_amount()
self.check_for_all_filters()
def check_for_monthly_and_number(self):
filters = {
'pipeline_by':"Owner",
'range':"Monthly",
'based_on':"Number",
'status':"Open",
'opportunity_type':"Sales",
'company':"Best Test"
}
report = execute(filters)
expected_data = [
{
'opportunity_owner':'Not Assigned',
'August':1
}
]
self.assertEqual(expected_data,report[1])
filters = {
'pipeline_by':"Sales Stage",
'range':"Monthly",
'based_on':"Number",
'status':"Open",
'opportunity_type':"Sales",
'company':"Best Test"
}
report = execute(filters)
expected_data = [
{
'sales_stage':'Prospecting',
'August':1
}
]
self.assertEqual(expected_data,report[1])
def check_for_monthly_and_amount(self):
filters = {
'pipeline_by':"Owner",
'range':"Monthly",
'based_on':"Amount",
'status':"Open",
'opportunity_type':"Sales",
'company':"Best Test"
}
report = execute(filters)
expected_data = [
{
'opportunity_owner':'Not Assigned',
'August':150000
}
]
self.assertEqual(expected_data,report[1])
filters = {
'pipeline_by':"Sales Stage",
'range':"Monthly",
'based_on':"Amount",
'status':"Open",
'opportunity_type':"Sales",
'company':"Best Test"
}
report = execute(filters)
expected_data = [
{
'sales_stage':'Prospecting',
'August':150000
}
]
self.assertEqual(expected_data,report[1])
def check_for_quarterly_and_number(self):
filters = {
'pipeline_by':"Owner",
'range':"Quarterly",
'based_on':"Number",
'status':"Open",
'opportunity_type':"Sales",
'company':"Best Test"
}
report = execute(filters)
expected_data = [
{
'opportunity_owner':'Not Assigned',
'Q3':1
}
]
self.assertEqual(expected_data,report[1])
filters = {
'pipeline_by':"Sales Stage",
'range':"Quarterly",
'based_on':"Number",
'status':"Open",
'opportunity_type':"Sales",
'company':"Best Test"
}
report = execute(filters)
expected_data = [
{
'sales_stage':'Prospecting',
'Q3':1
}
]
self.assertEqual(expected_data,report[1])
def check_for_quarterly_and_amount(self):
filters = {
'pipeline_by':"Owner",
'range':"Quarterly",
'based_on':"Amount",
'status':"Open",
'opportunity_type':"Sales",
'company':"Best Test"
}
report = execute(filters)
expected_data = [
{
'opportunity_owner':'Not Assigned',
'Q3':150000
}
]
self.assertEqual(expected_data,report[1])
filters = {
'pipeline_by':"Sales Stage",
'range':"Quarterly",
'based_on':"Amount",
'status':"Open",
'opportunity_type':"Sales",
'company':"Best Test"
}
report = execute(filters)
expected_data = [
{
'sales_stage':'Prospecting',
'Q3':150000
}
]
self.assertEqual(expected_data,report[1])
def check_for_all_filters(self):
filters = {
'pipeline_by':"Owner",
'range':"Monthly",
'based_on':"Number",
'status':"Open",
'opportunity_type':"Sales",
'company':"Best Test",
'opportunity_source':'Cold Calling',
'from_date': '2021-08-01',
'to_date':'2021-08-31'
}
report = execute(filters)
expected_data = [
{
'opportunity_owner':'Not Assigned',
'August': 1
}
]
self.assertEqual(expected_data,report[1])
def create_company():
doc = frappe.db.exists('Company','Best Test')
if not doc:
doc = frappe.new_doc('Company')
doc.company_name = 'Best Test'
doc.default_currency = "INR"
doc.insert()
def create_customer():
doc = frappe.db.exists("Customer","_Test NC")
if not doc:
doc = frappe.new_doc("Customer")
doc.customer_name = '_Test NC'
doc.insert()
def create_opportunity():
doc = frappe.db.exists({"doctype":"Opportunity","party_name":"_Test NC"})
if not doc:
doc = frappe.new_doc("Opportunity")
doc.opportunity_from = "Customer"
customer_name = frappe.db.get_value("Customer",{"customer_name":'_Test NC'},['customer_name'])
doc.party_name = customer_name
doc.opportunity_amount = 150000
doc.source = "Cold Calling"
doc.currency = "INR"
doc.expected_closing = "2021-08-31"
doc.company = 'Best Test'
doc.insert()

View File

@ -147,6 +147,24 @@
"onboard": 1, "onboard": 1,
"type": "Link" "type": "Link"
}, },
{
"hidden": 0,
"is_query_report": 1,
"label": "Sales Pipeline Analytics",
"link_to": "Sales Pipeline Analytics",
"link_type": "Report",
"onboard": 0,
"type": "Link"
},
{
"hidden": 0,
"is_query_report": 1,
"label": "Opportunity Summary by Sales Stage",
"link_to": "Opportunity Summary by Sales Stage",
"link_type": "Report",
"onboard": 0,
"type": "Link"
},
{ {
"dependencies": "", "dependencies": "",
"hidden": 0, "hidden": 0,
@ -403,7 +421,7 @@
"type": "Link" "type": "Link"
} }
], ],
"modified": "2021-08-05 12:15:56.913091", "modified": "2021-08-19 19:08:08.728876",
"modified_by": "Administrator", "modified_by": "Administrator",
"module": "CRM", "module": "CRM",
"name": "CRM", "name": "CRM",