diff options
Diffstat (limited to 'tests/models/precision')
| -rw-r--r-- | tests/models/precision/__init__.py | 115 | ||||
| -rw-r--r-- | tests/models/precision/test_survey.py | 42 |
2 files changed, 18 insertions, 139 deletions
diff --git a/tests/models/precision/__init__.py b/tests/models/precision/__init__.py index 8006fa3..e69de29 100644 --- a/tests/models/precision/__init__.py +++ b/tests/models/precision/__init__.py @@ -1,115 +0,0 @@ -survey_json = { - "cpi": "1.44", - "country_isos": "ca", - "language_isos": "eng", - "country_iso": "ca", - "language_iso": "eng", - "buyer_id": "7047", - "bid_loi": 1200, - "bid_ir": 0.45, - "source": "e", - "used_question_ids": ["age", "country_iso", "gender", "gender_1"], - "survey_id": "0000", - "group_id": "633473", - "status": "open", - "name": "beauty survey", - "survey_guid": "c7f375c5077d4c6c8209ff0b539d7183", - "category_id": "-1", - "global_conversion": None, - "desired_count": 96, - "achieved_count": 0, - "allowed_devices": "1,2,3", - "entry_link": "https://www.opinionetwork.com/survey/entry.aspx?mid=[%MID%]&project=633473&key=%%key%%", - "excluded_surveys": "470358,633286", - "quotas": [ - { - "name": "25-34,Male,Quebec", - "id": "2324110", - "guid": "23b5760d24994bc08de451b3e62e77c7", - "status": "open", - "desired_count": 48, - "achieved_count": 0, - "termination_count": 0, - "overquota_count": 0, - "condition_hashes": ["b41e1a3", "bc89ee8", "4124366", "9f32c61"], - }, - { - "name": "25-34,Female,Quebec", - "id": "2324111", - "guid": "0706f1a88d7e4f11ad847c03012e68d2", - "status": "open", - "desired_count": 48, - "achieved_count": 0, - "termination_count": 4, - "overquota_count": 0, - "condition_hashes": ["b41e1a3", "0cdc304", "500af2c", "9f32c61"], - }, - ], - "conditions": { - "b41e1a3": { - "logical_operator": "OR", - "value_type": 1, - "negate": False, - "question_id": "country_iso", - "values": ["ca"], - "criterion_hash": "b41e1a3", - "value_len": 1, - "sizeof": 2, - }, - "bc89ee8": { - "logical_operator": "OR", - "value_type": 1, - "negate": False, - "question_id": "gender", - "values": ["male"], - "criterion_hash": "bc89ee8", - "value_len": 1, - "sizeof": 4, - }, - "4124366": { - "logical_operator": "OR", - "value_type": 1, - "negate": False, - "question_id": "gender_1", - "values": ["male"], - "criterion_hash": "4124366", - "value_len": 1, - "sizeof": 4, - }, - "9f32c61": { - "logical_operator": "OR", - "value_type": 1, - "negate": False, - "question_id": "age", - "values": ["25", "26", "27", "28", "29", "30", "31", "32", "33", "34"], - "criterion_hash": "9f32c61", - "value_len": 10, - "sizeof": 20, - }, - "0cdc304": { - "logical_operator": "OR", - "value_type": 1, - "negate": False, - "question_id": "gender", - "values": ["female"], - "criterion_hash": "0cdc304", - "value_len": 1, - "sizeof": 6, - }, - "500af2c": { - "logical_operator": "OR", - "value_type": 1, - "negate": False, - "question_id": "gender_1", - "values": ["female"], - "criterion_hash": "500af2c", - "value_len": 1, - "sizeof": 6, - }, - }, - "expected_end_date": "2024-06-28T10:40:33.000000Z", - "created": None, - "updated": None, - "is_live": True, - "all_hashes": ["0cdc304", "b41e1a3", "9f32c61", "bc89ee8", "4124366", "500af2c"], -} diff --git a/tests/models/precision/test_survey.py b/tests/models/precision/test_survey.py index ff2d6d1..4d671f2 100644 --- a/tests/models/precision/test_survey.py +++ b/tests/models/precision/test_survey.py @@ -1,10 +1,15 @@ -class TestPrecisionQuota: +from __future__ import annotations + +from typing import Any + +from generalresearch.models.precision import PrecisionStatus +from generalresearch.models.precision.survey import PrecisionSurvey - def test_quota_passes(self): - from generalresearch.models.precision.survey import PrecisionSurvey - from tests.models.precision import survey_json - s = PrecisionSurvey.model_validate(survey_json) +class TestPrecisionQuota: + + def test_quota_passes(self, precision_survey_json: dict[str, Any]): + s = PrecisionSurvey.model_validate(precision_survey_json) q = s.quotas[0] ce = {k: True for k in ["b41e1a3", "bc89ee8", "4124366", "9f32c61"]} assert q.matches(ce) @@ -16,12 +21,9 @@ class TestPrecisionQuota: assert not q.matches(ce) assert not q.matches({}) - def test_quota_passes_closed(self): - from generalresearch.models.precision import PrecisionStatus - from generalresearch.models.precision.survey import PrecisionSurvey - from tests.models.precision import survey_json + def test_quota_passes_closed(self, precision_survey_json: dict[str, Any]): - s = PrecisionSurvey.model_validate(survey_json) + s = PrecisionSurvey.model_validate(precision_survey_json) q = s.quotas[0] q.status = PrecisionStatus.CLOSED ce = {k: True for k in ["b41e1a3", "bc89ee8", "4124366", "9f32c61"]} @@ -32,20 +34,15 @@ class TestPrecisionQuota: class TestPrecisionSurvey: - def test_passes(self): - from generalresearch.models.precision.survey import PrecisionSurvey - from tests.models.precision import survey_json + def test_passes(self, precision_survey_json: dict[str, Any]): - s = PrecisionSurvey.model_validate(survey_json) + s = PrecisionSurvey.model_validate(precision_survey_json) ce = {k: True for k in ["b41e1a3", "bc89ee8", "4124366", "9f32c61"]} assert s.determine_eligibility(ce) - def test_elig_closed_quota(self): - from generalresearch.models.precision import PrecisionStatus - from generalresearch.models.precision.survey import PrecisionSurvey - from tests.models.precision import survey_json + def test_elig_closed_quota(self, precision_survey_json: dict[str, Any]): - s = PrecisionSurvey.model_validate(survey_json) + s = PrecisionSurvey.model_validate(precision_survey_json) ce = {k: True for k in ["b41e1a3", "bc89ee8", "4124366", "9f32c61"]} q = s.quotas[0] q.status = PrecisionStatus.CLOSED @@ -57,12 +54,9 @@ class TestPrecisionSurvey: # Now me match an open quota and dont match the closed quota, so we should be eligible assert s.determine_eligibility(ce) - def test_passes_sp(self): - from generalresearch.models.precision import PrecisionStatus - from generalresearch.models.precision.survey import PrecisionSurvey - from tests.models.precision import survey_json + def test_passes_sp(self, precision_survey_json: dict[str, Any]): - s = PrecisionSurvey.model_validate(survey_json) + s = PrecisionSurvey.model_validate(precision_survey_json) ce = {k: True for k in ["b41e1a3", "bc89ee8", "4124366", "9f32c61"]} passes, hashes = s.determine_eligibility_soft(ce) |