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https://github.com/gristlabs/grist-core.git
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b82eec714a
Summary: this moves sandbox/grist to core, and adds a requirements.txt file for reconstructing the content of sandbox/thirdparty. Test Plan: existing tests pass. Tested core functionality manually. Tested docker build manually. Reviewers: dsagal Reviewed By: dsagal Differential Revision: https://phab.getgrist.com/D2563
120 lines
4.4 KiB
Python
120 lines
4.4 KiB
Python
# This test verifies behavior when a formula produces side effects. The prime example is
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# lookupOrAddDerived() function, which adds new records (and is the basis for summary tables).
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import objtypes
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import test_engine
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import testutil
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class TestSideEffects(test_engine.EngineTestCase):
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address_table_data = [
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["id", "city", "state", "amount" ],
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[ 21, "New York", "NY" , 1 ],
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[ 22, "Albany", "NY" , 2 ],
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]
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schools_table_data = [
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["id", "city" , "name" ],
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[1, "Boston" , "MIT" ],
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[2, "New York" , "NYU" ],
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]
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sample = testutil.parse_test_sample({
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"SCHEMA": [
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[1, "Address", [
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[1, "city", "Text", False, "", "", ""],
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[2, "state", "Text", False, "", "", ""],
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[3, "amount", "Numeric", False, "", "", ""],
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]],
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[2, "Schools", [
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[11, "name", "Text", False, "", "", ""],
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[12, "city", "Text", False, "", "", ""],
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]],
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],
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"DATA": {
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"Address": address_table_data,
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"Schools": schools_table_data,
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}
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})
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def test_failure_after_side_effect(self):
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# Verify that when a formula fails after a side-effect, the effect is reverted.
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self.load_sample(self.sample)
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formula = 'Schools.lookupOrAddDerived(city="TESTCITY")\nraise Exception("test-error")'
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out_actions = self.apply_user_action(['AddColumn', 'Address', "A", { 'formula': formula }])
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self.assertPartialOutActions(out_actions, { "stored": [
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["AddColumn", "Address", "A", {"formula": formula, "isFormula": True, "type": "Any"}],
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["AddRecord", "_grist_Tables_column", 13, {
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"colId": "A", "formula": formula, "isFormula": True, "label": "A",
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"parentId": 1, "parentPos": 4.0, "type": "Any", "widgetOptions": ""
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}],
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# The thing to note here is that while lookupOrAddDerived() should have added a row to
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# Schools, the Exception negated it, and there is no action to add that row.
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]})
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# Check that data is as expected: no new records in Schools, one new column in Address.
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self.assertTableData('Schools', cols="all", data=self.schools_table_data)
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self.assertTableData('Address', cols="all", data=[
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["id", "city", "state", "amount", "A" ],
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[ 21, "New York", "NY" , 1, objtypes.RaisedException(Exception()) ],
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[ 22, "Albany", "NY" , 2, objtypes.RaisedException(Exception()) ],
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])
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def test_calc_actions_in_side_effect_rollback(self):
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self.load_sample(self.sample)
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# Formula which allows a side effect to be conditionally rolled back.
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formula = '''
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Schools.lookupOrAddDerived(city=$city)
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if $amount < 0:
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raise Exception("test-error")
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'''
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self.add_column('Schools', 'ucity', formula='$city.upper()')
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self.add_column('Address', 'A', formula=formula)
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self.assertTableData('Schools', cols="all", data=[
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["id", "city", "name", "ucity"],
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[1, "Boston", "MIT", "BOSTON"],
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[2, "New York", "NYU", "NEW YORK"],
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[3, "Albany", "", "ALBANY"],
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])
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# Check that a successful side-effect which adds a row triggers calc actions for that row.
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out_actions = self.update_record('Address', 22, city="aaa", amount=1000)
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self.assertPartialOutActions(out_actions, {
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"stored": [
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["UpdateRecord", "Address", 22, {"amount": 1000.0, "city": "aaa"}],
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["AddRecord", "Schools", 4, {"city": "aaa"}],
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],
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"calc": [
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["UpdateRecord", "Schools", 4, {"ucity": "AAA"}],
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],
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})
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self.assertTableData('Schools', cols="all", data=[
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["id", "city", "name", "ucity"],
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[1, "Boston", "MIT", "BOSTON"],
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[2, "New York", "NYU", "NEW YORK"],
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[3, "Albany", "", "ALBANY"],
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[4, "aaa", "", "AAA"],
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])
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# Check that a side effect that failed and got rolled back does not include calc actions for
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# the rows that didn't stay.
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out_actions = self.update_record('Address', 22, city="bbb", amount=-3)
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self.assertPartialOutActions(out_actions, {
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"stored": [
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["UpdateRecord", "Address", 22, {"amount": -3.0, "city": "bbb"}],
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],
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"calc": [
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["UpdateRecord", "Address", 22, {"A": ["E", "Exception"]}],
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],
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})
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self.assertTableData('Schools', cols="all", data=[
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["id", "city", "name", "ucity"],
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[1, "Boston", "MIT", "BOSTON"],
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[2, "New York", "NYU", "NEW YORK"],
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[3, "Albany", "", "ALBANY"],
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[4, "aaa", "", "AAA"],
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])
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