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| author | Max Nanis | 2026-03-06 16:49:46 -0500 |
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| committer | Max Nanis | 2026-03-06 16:49:46 -0500 |
| commit | 91d040211a4ed6e4157896256a762d3854777b5e (patch) | |
| tree | cd95922ea4257dc8d3f4e4cbe8534474709a20dc /tests/models/dynata/test_survey.py | |
| download | generalresearch-91d040211a4ed6e4157896256a762d3854777b5e.tar.gz generalresearch-91d040211a4ed6e4157896256a762d3854777b5e.zip | |
Initial commitv3.3.4
Diffstat (limited to 'tests/models/dynata/test_survey.py')
| -rw-r--r-- | tests/models/dynata/test_survey.py | 164 |
1 files changed, 164 insertions, 0 deletions
diff --git a/tests/models/dynata/test_survey.py b/tests/models/dynata/test_survey.py new file mode 100644 index 0000000..ad953a3 --- /dev/null +++ b/tests/models/dynata/test_survey.py @@ -0,0 +1,164 @@ +class TestDynataCondition: + + def test_condition_create(self): + from generalresearch.models.dynata.survey import DynataCondition + + cell = { + "tag": "90606986-5508-461b-a821-216e9a72f1a0", + "attribute_id": 120, + "negate": False, + "kind": "VALUE", + "value": "45398", + } + c = DynataCondition.from_api(cell) + assert c.evaluate_criterion({"120": {"45398"}}) + assert not c.evaluate_criterion({"120": {"11111"}}) + + cell = { + "tag": "aa7169c0-cb34-499a-aadd-31e0013df8fd", + "attribute_id": 231302, + "negate": False, + "operator": "OR", + "kind": "LIST", + "list": ["514802", "514804", "514808", "514810"], + } + c = DynataCondition.from_api(cell) + assert c.evaluate_criterion({"231302": {"514804", "123445"}}) + assert not c.evaluate_criterion({"231302": {"123445"}}) + + cell = { + "tag": "aa7169c0-cb34-499a-aadd-31e0013df8fd", + "attribute_id": 231302, + "negate": False, + "operator": "AND", + "kind": "LIST", + "list": ["514802", "514804"], + } + c = DynataCondition.from_api(cell) + assert c.evaluate_criterion({"231302": {"514802", "514804"}}) + assert not c.evaluate_criterion({"231302": {"514802"}}) + + cell = { + "tag": "75a36c67-0328-4c1b-a4dd-67d34688ff68", + "attribute_id": 80, + "negate": False, + "kind": "RANGE", + "range": {"from": 18, "to": 99}, + } + c = DynataCondition.from_api(cell) + assert c.evaluate_criterion({"80": {"20"}}) + assert not c.evaluate_criterion({"80": {"120"}}) + + cell = { + "tag": "dd64b622-ed10-4a3b-e1h8-a4e63b59vha2", + "attribute_id": 83, + "negate": False, + "kind": "INEFFABLE", + } + c = DynataCondition.from_api(cell) + assert c.evaluate_criterion({"83": {"20"}}) + + cell = { + "tag": "kei35kkjj-d00k-52kj-b3j4-a4jinx9832", + "attribute_id": 8, + "negate": False, + "kind": "ANSWERED", + } + c = DynataCondition.from_api(cell) + assert c.evaluate_criterion({"8": {"20"}}) + assert not c.evaluate_criterion({"81": {"20"}}) + + def test_condition_range(self): + from generalresearch.models.dynata.survey import DynataCondition + + cell = { + "tag": "75a36c67-0328-4c1b-a4dd-67d34688ff68", + "attribute_id": 80, + "negate": False, + "kind": "RANGE", + "range": {"from": 18, "to": None}, + } + c = DynataCondition.from_api(cell) + assert c.evaluate_criterion({"80": {"20"}}) + + def test_recontact(self): + from generalresearch.models.dynata.survey import DynataCondition + + cell = { + "tag": "d559212d-7984-4239-89c2-06c29588d79e", + "attribute_id": 238384, + "negate": False, + "operator": "OR", + "kind": "INVITE_COLLECTIONS", + "invite_collections": ["621041", "621042"], + } + c = DynataCondition.from_api(cell) + assert c.evaluate_criterion({"80": {"20"}}, user_groups={"621041", "a"}) + + +class TestDynataSurvey: + pass + + # def test_survey_eligibility(self): + # d = {'survey_id': 29333264, 'survey_name': '#29333264', 'survey_status': 22, + # 'field_end_date': datetime(2024, 5, 23, 18, 18, 31, tzinfo=timezone.utc), + # 'category': 'Exciting New', 'category_code': 232, + # 'crtd_on': datetime(2024, 5, 20, 17, 48, 13, tzinfo=timezone.utc), + # 'mod_on': datetime(2024, 5, 20, 18, 18, 31, tzinfo=timezone.utc), + # 'soft_launch': False, 'click_balancing': 0, 'price_type': 1, 'pii': False, + # 'buyer_message': '', 'buyer_id': 4726, 'incl_excl': 0, + # 'cpi': Decimal('1.20000'), 'last_complete_date': None, 'project_last_complete_date': None, + # 'quotas': [], 'qualifications': [], + # 'country_iso': 'fr', 'language_iso': 'fre', 'overall_ir': 0.4, 'overall_loi': 600, + # 'last_block_ir': None, 'last_block_loi': None, 'survey_exclusions': set(), 'exclusion_period': 0} + # s = DynataSurvey.from_api(d) + # s.qualifications = ['a', 'b', 'c'] + # s.quotas = [ + # SpectrumQuota(remaining_count=10, condition_hashes=['a', 'b']), + # SpectrumQuota(remaining_count=0, condition_hashes=['d']), + # SpectrumQuota(remaining_count=10, condition_hashes=['e']) + # ] + # + # self.assertTrue(s.passes_qualifications({'a': True, 'b': True, 'c': True})) + # self.assertFalse(s.passes_qualifications({'a': True, 'b': True, 'c': False})) + # + # # we do NOT match a full quota, so we pass + # self.assertTrue(s.passes_quotas({'a': True, 'b': True, 'd': False})) + # # We dont pass any + # self.assertFalse(s.passes_quotas({})) + # # we only pass a full quota + # self.assertFalse(s.passes_quotas({'d': True})) + # # we only dont pass a full quota, but we haven't passed any open + # self.assertFalse(s.passes_quotas({'d': False})) + # # we pass a quota, but also pass a full quota, so fail + # self.assertFalse(s.passes_quotas({'e': True, 'd': True})) + # # we pass a quota, but are unknown in a full quota, so fail + # self.assertFalse(s.passes_quotas({'e': True})) + # + # # # Soft Pair + # self.assertEqual((True, set()), s.passes_qualifications_soft({'a': True, 'b': True, 'c': True})) + # self.assertEqual((False, set()), s.passes_qualifications_soft({'a': True, 'b': True, 'c': False})) + # self.assertEqual((None, set('c')), s.passes_qualifications_soft({'a': True, 'b': True, 'c': None})) + # + # # we do NOT match a full quota, so we pass + # self.assertEqual((True, set()), s.passes_quotas_soft({'a': True, 'b': True, 'd': False})) + # # We dont pass any + # self.assertEqual((None, {'a', 'b', 'd', 'e'}), s.passes_quotas_soft({})) + # # we only pass a full quota + # self.assertEqual((False, set()), s.passes_quotas_soft({'d': True})) + # # we only dont pass a full quota, but we haven't passed any open + # self.assertEqual((None, {'a', 'b', 'e'}), s.passes_quotas_soft({'d': False})) + # # we pass a quota, but also pass a full quota, so fail + # self.assertEqual((False, set()), s.passes_quotas_soft({'e': True, 'd': True})) + # # we pass a quota, but are unknown in a full quota, so fail + # self.assertEqual((None, {'d'}), s.passes_quotas_soft({'e': True})) + # + # self.assertEqual(True, s.determine_eligibility({'a': True, 'b': True, 'c': True, 'd': False})) + # self.assertEqual(False, s.determine_eligibility({'a': True, 'b': True, 'c': False, 'd': False})) + # self.assertEqual(False, s.determine_eligibility({'a': True, 'b': True, 'c': None, 'd': False})) + # self.assertEqual((True, set()), s.determine_eligibility_soft({'a': True, 'b': True, 'c': True, 'd': False})) + # self.assertEqual((False, set()), s.determine_eligibility_soft({'a': True, 'b': True, 'c': False, 'd': False})) + # self.assertEqual((None, set('c')), s.determine_eligibility_soft({'a': True, 'b': True, 'c': None, + # 'd': False})) + # self.assertEqual((None, {'c', 'd'}), s.determine_eligibility_soft({'a': True, 'b': True, 'c': None, + # 'd': None})) |
