feat: deterministic disputed-value detection for cluster assertions

This commit is contained in:
2026-08-10 10:40:10 -05:00
parent 0ea0b0e897
commit df4d15fd0c
2 changed files with 97 additions and 0 deletions
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"""Deterministic detection of contradictory extracted values within a cluster.
Extraction is a vision pass: quantities and sizes can be misread ("(2) 2x6" vs
"(5) 2x6"). Cluster members are supposed to describe the same real-world
element, so two members asserting different values for the same attribute are
a probable misread. Flag these so downstream text-only stages treat the value
as unverified instead of reasoning from one reading.
"""
import re
from typing import Dict, List
def _norm(value) -> str:
return re.sub(r"\s+", " ", str(value or "").strip().lower())
def find_disputes(assertions: List[Dict]) -> List[Dict]:
"""Same attribute with >= 2 distinct normalized values = disputed."""
groups: Dict[str, Dict[str, Dict]] = {}
for assertion in assertions:
attribute = _norm(assertion.get("attribute"))
value = _norm(assertion.get("value"))
if not attribute or not value:
continue
# Group on the normalized value, but keep the original (whitespace-
# collapsed) text so disputes read like the sheet, not a lowercase munge.
original = re.sub(r"\s+", " ", str(assertion.get("value")).strip())
bucket = groups.setdefault(attribute, {}).setdefault(
value, {"original": original, "ids": set()}
)
bucket["ids"].add(assertion.get("id"))
disputes = []
for attribute, values in sorted(groups.items()):
if len(values) < 2:
continue
disputes.append({
"attribute": attribute,
"values": sorted(v["original"] for v in values.values()),
"assertion_ids": sorted(
aid for v in values.values() for aid in v["ids"] if aid
),
})
return disputes
def annotate_clusters(clusters: List[Dict]) -> int:
"""Attach disputed_attributes to each cluster that has any. Returns count."""
annotated = 0
for cluster in clusters:
disputes = find_disputes(cluster.get("assertions") or [])
if disputes:
cluster["disputed_attributes"] = disputes
annotated += 1
return annotated
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from backend.agents.disputes import annotate_clusters, find_disputes
def _a(id_, attribute, value):
return {"id": id_, "attribute": attribute, "value": value,
"source_text": value}
def test_find_disputes_flags_same_attribute_different_values():
assertions = [
_a("a1", "stud_pack_size", "(2) 2x6 STUD PACK"),
_a("a2", "stud_pack_size", "(5) 2x6 STUD PACK"),
_a("a3", "beam_size", "HSS16X4X5/8"),
]
disputes = find_disputes(assertions)
assert len(disputes) == 1
assert disputes[0]["attribute"] == "stud_pack_size"
assert disputes[0]["values"] == ["(2) 2x6 STUD PACK", "(5) 2x6 STUD PACK"]
assert disputes[0]["assertion_ids"] == ["a1", "a2"]
def test_find_disputes_ignores_agreeing_values_and_blanks():
assertions = [
_a("a1", "beam_size", "HSS16X4X5/8"),
_a("a2", "beam_size", " hss16x4x5/8 "), # same after normalize
_a("a3", "", "orphan"), # no attribute -> skipped
_a("a4", "beam_size", ""), # no value -> skipped
]
assert find_disputes(assertions) == []
def test_annotate_clusters_writes_disputed_attributes():
clusters = [
{"key": "c1", "assertions": [
_a("a1", "stud_pack_size", "(2) 2x6"),
_a("a2", "stud_pack_size", "(5) 2x6"),
]},
{"key": "c2", "assertions": [_a("a3", "x", "1"), _a("a4", "x", "1")]},
]
assert annotate_clusters(clusters) == 1
assert clusters[0]["disputed_attributes"][0]["attribute"] == "stud_pack_size"
assert "disputed_attributes" not in clusters[1]