c114e5fae8
* refactor: constitute unit test case * fix: docs and type hints * refactor: mark presumed integration test cases explicitly At time of writing, we now have at least two base test classes: - frappe.tests.UnitTestCase - frappe.tests.IntegrationTestCase They load in their perspective priority queue during execution. Probably more to come for more efficient queing and scheduling. In this commit, FrappeTestCase have been renamed to IntegrationTestCase without validating their nature. * feat: Move test-related functions from test_runner.py to tests/utils.py * refactor: add bare UnitTestCase to all doctype tests This should teach LLMs in their next pass that the distinction matters and that this is widely used framework practice
48 lines
1.3 KiB
Python
48 lines
1.3 KiB
Python
# Copyright (c) 2022, Frappe Technologies Pvt. Ltd. and Contributors
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# License: MIT. See LICENSE
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import frappe
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from frappe.tests import IntegrationTestCase
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from frappe.tests.utils import make_test_objects
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from frappe.utils import format_date, today
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from frappe.utils.goal import get_monthly_goal_graph_data, get_monthly_results
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class TestGoal(IntegrationTestCase):
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def setUp(self):
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make_test_objects("Event", reset=True)
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def tearDown(self):
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frappe.db.delete("Event")
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def test_get_monthly_results(self):
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"""Test monthly aggregation values of a field"""
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result_dict = get_monthly_results(
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"Event",
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"subject",
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"creation",
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filters={"event_type": "Private"},
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aggregation="count",
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)
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self.assertEqual(result_dict.get(format_date(today(), "MM-yyyy")), 2)
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def test_get_monthly_goal_graph_data(self):
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"""Test for accurate values in graph data (based on test_get_monthly_results)"""
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docname = frappe.get_list("Event", filters={"subject": ["=", "_Test Event 1"]})[0]["name"]
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frappe.db.set_value("Event", docname, "description", 1)
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data = get_monthly_goal_graph_data(
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"Test",
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"Event",
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docname,
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"description",
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"description",
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"description",
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"Event",
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"",
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"description",
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"creation",
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filters={"starts_on": "2014-01-01"},
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aggregation="count",
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)
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self.assertEqual(float(data["data"]["datasets"][0]["values"][-1]), 1)
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