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feat(rectification): drive questions from candidate contrast

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Jesse_Chen
2026-07-31 13:17:00 +08:00
parent fdf791953e
commit a7a11a1a7a
21 changed files with 703 additions and 42 deletions
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tests/test_rectification_v5_services.py
+66 -1
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@@ -113,6 +113,71 @@ class RectificationV5ServicesTest(unittest.TestCase):
normalized = normalize_rectification_request(request(domain="health_pressure", event_kind="self_health_event"), today=date(2026, 7, 28))
self.assertEqual(normalized["events"][0]["event_kind"], "self_health_event")
def test_relationship_end_is_not_scoreable(self):
with self.assertRaisesRegex(ValueError, "event_kind does not match domain"):
normalize_rectification_request(
request(domain="relationship", event_kind="relationship_end"),
today=date(2026, 7, 28),
)
def test_relationship_start_and_change_use_distinct_rule_conditioned_profiles(self):
def relationship_rows(_value):
return [
{
"time": "05:13", "score": 10,
"evidence": [{
"event_id": EVENT_ID, "domain": "relationship", "candidate_time": "05:13",
"rule_ids": ["vim_md_domain_house", "vim_ad_functional_benefic_auxiliary"],
"points": 10,
}],
"missing_layers": [],
},
{
"time": "05:14", "score": 9,
"evidence": [{
"event_id": EVENT_ID, "domain": "relationship", "candidate_time": "05:14",
"rule_ids": ["controlled_transit_saturn_domain_house", "vim_ad_functional_malefic_auxiliary"],
"points": 9,
}],
"missing_layers": [],
},
]
start = normalize_rectification_request(
request(domain="relationship", event_kind="relationship_start"), today=date(2026, 7, 28)
)
change = normalize_rectification_request(
request(domain="relationship", event_kind="relationship_change"), today=date(2026, 7, 28)
)
start_matrix = build_event_contribution_matrix(start, row_provider=relationship_rows)
change_matrix = build_event_contribution_matrix(change, row_provider=relationship_rows)
self.assertGreater(start_matrix["matrix"][EVENT_ID]["05:13"]["points"], start_matrix["matrix"][EVENT_ID]["05:14"]["points"] )
self.assertGreater(change_matrix["matrix"][EVENT_ID]["05:14"]["points"], change_matrix["matrix"][EVENT_ID]["05:13"]["points"] )
self.assertEqual(change_matrix["date_sensitivity"][0]["sample_winners"], ["05:14", "05:14", "05:14"])
self.assertNotIn("event_kind_profile", change_matrix["matrix"][EVENT_ID]["05:14"]["technique_layers"])
def test_relationship_kind_profile_does_not_create_points_without_activation(self):
normalized = normalize_rectification_request(
request(domain="relationship", event_kind="relationship_change", precision="day"),
today=date(2026, 7, 28),
)
def rows(_value):
return [{
"time": "05:13", "score": 0,
"evidence": [{
"event_id": EVENT_ID, "domain": "relationship", "candidate_time": "05:13",
"rule_ids": ["no_domain_activation", "event_kind:relationship_change"],
"points": 0,
}],
"missing_layers": [],
}]
built = build_event_contribution_matrix(normalized, row_provider=rows)
self.assertEqual(built["matrix"][EVENT_ID]["05:13"]["points"], 0)
def test_date_sampling_preserves_declared_range_and_uses_bounded_samples(self):
base = request()["events"][0]
self.assertEqual(sample_event_dates({**base, "precision": "month"}), ["2016-09-01", "2016-09-15", "2016-09-30"])
@@ -167,7 +232,7 @@ class RectificationV5ServicesTest(unittest.TestCase):
}
feature = {
"calculation_spec_hash": "0" * 64,
"algorithm_version": "rectification-v5-matrix-scoring-1",
"algorithm_version": "rectification-v5-matrix-scoring-2",
"candidate_count": 2,
"feature_hash": "1" * 64,
"features": [{"time": "05:13"}, {"time": "05:14"}],