mis-builder/mis_builder/tests/test_kpi_data.py

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2021-03-23 19:36:01 +00:00
# Copyright 2017 ACSONE SA/NV (<http://acsone.eu>)
# License AGPL-3.0 or later (https://www.gnu.org/licenses/agpl.html).
from flectra import models
from flectra.tests.common import SavepointCase
from ..models.mis_kpi_data import ACC_AVG, ACC_SUM
from .common import setup_test_model, teardown_test_model
class TestKpiData(SavepointCase):
class MisKpiDataTestItem(models.Model):
_name = "mis.kpi.data.test.item"
_inherit = "mis.kpi.data"
@classmethod
def setUpClass(cls):
super(TestKpiData, cls).setUpClass()
setup_test_model(cls.env, cls.MisKpiDataTestItem)
report = cls.env["mis.report"].create(dict(name="test report"))
cls.kpi1 = cls.env["mis.report.kpi"].create(
dict(
report_id=report.id,
name="k1",
description="kpi 1",
expression="AccountingNone",
)
)
cls.expr1 = cls.kpi1.expression_ids[0]
cls.kpi2 = cls.env["mis.report.kpi"].create(
dict(
report_id=report.id,
name="k2",
description="kpi 2",
expression="AccountingNone",
)
)
cls.expr2 = cls.kpi2.expression_ids[0]
cls.kd11 = cls.env["mis.kpi.data.test.item"].create(
dict(
kpi_expression_id=cls.expr1.id,
date_from="2017-05-01",
date_to="2017-05-10",
amount=10,
)
)
cls.kd12 = cls.env["mis.kpi.data.test.item"].create(
dict(
kpi_expression_id=cls.expr1.id,
date_from="2017-05-11",
date_to="2017-05-20",
amount=20,
)
)
cls.kd13 = cls.env["mis.kpi.data.test.item"].create(
dict(
kpi_expression_id=cls.expr1.id,
date_from="2017-05-21",
date_to="2017-05-25",
amount=30,
)
)
cls.kd21 = cls.env["mis.kpi.data.test.item"].create(
dict(
kpi_expression_id=cls.expr2.id,
date_from="2017-06-01",
date_to="2017-06-30",
amount=3,
)
)
@classmethod
def tearDownClass(cls):
teardown_test_model(cls.env, cls.MisKpiDataTestItem)
super(TestKpiData, cls).tearDownClass()
def test_kpi_data_name(self):
self.assertEqual(self.kd11.name, "k1: 2017-05-01 - 2017-05-10")
self.assertEqual(self.kd12.name, "k1: 2017-05-11 - 2017-05-20")
def test_kpi_data_sum(self):
self.assertEqual(self.kpi1.accumulation_method, ACC_SUM)
# one full
r = self.env["mis.kpi.data.test.item"]._query_kpi_data(
"2017-05-01", "2017-05-10", []
)
self.assertEqual(r, {self.expr1: 10})
# one half
r = self.env["mis.kpi.data.test.item"]._query_kpi_data(
"2017-05-01", "2017-05-05", []
)
self.assertEqual(r, {self.expr1: 5})
# two full
r = self.env["mis.kpi.data.test.item"]._query_kpi_data(
"2017-05-01", "2017-05-20", []
)
self.assertEqual(r, {self.expr1: 30})
# two half
r = self.env["mis.kpi.data.test.item"]._query_kpi_data(
"2017-05-06", "2017-05-15", []
)
self.assertEqual(r, {self.expr1: 15})
# more than covered range
r = self.env["mis.kpi.data.test.item"]._query_kpi_data(
"2017-01-01", "2017-05-31", []
)
self.assertEqual(r, {self.expr1: 60})
# two kpis
r = self.env["mis.kpi.data.test.item"]._query_kpi_data(
"2017-05-21", "2017-06-30", []
)
self.assertEqual(r, {self.expr1: 30, self.expr2: 3})
def test_kpi_data_avg(self):
self.kpi1.accumulation_method = ACC_AVG
# one full
r = self.env["mis.kpi.data.test.item"]._query_kpi_data(
"2017-05-01", "2017-05-10", []
)
self.assertEqual(r, {self.expr1: 10})
# one half
r = self.env["mis.kpi.data.test.item"]._query_kpi_data(
"2017-05-01", "2017-05-05", []
)
self.assertEqual(r, {self.expr1: 10})
# two full
r = self.env["mis.kpi.data.test.item"]._query_kpi_data(
"2017-05-01", "2017-05-20", []
)
self.assertEqual(r, {self.expr1: (10 * 10 + 20 * 10) / 20})
# two half
r = self.env["mis.kpi.data.test.item"]._query_kpi_data(
"2017-05-06", "2017-05-15", []
)
self.assertEqual(r, {self.expr1: (10 * 5 + 20 * 5) / 10})
# more than covered range
r = self.env["mis.kpi.data.test.item"]._query_kpi_data(
"2017-01-01", "2017-05-31", []
)
self.assertEqual(r, {self.expr1: (10 * 10 + 20 * 10 + 30 * 5) / 25})