fix: wave 5b review blockers - suppressed memory key, finalizer merge, zero-image guard
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2026-08-10 12:21:41 -05:00
parent 3df359500c
commit b174b531cd
5 changed files with 126 additions and 13 deletions
+2 -1
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@@ -7,7 +7,8 @@ import threading
from typing import Any, Dict, Iterable, Optional from typing import Any, Dict, Iterable, Optional
_COLLECTION_KEYS = {"sheets", "clusters", "findings", "decisions", "rfis"} _COLLECTION_KEYS = {"sheets", "clusters", "findings", "decisions", "rfis",
"suppressed"}
_MAPPING_KEYS = {"sheet_index", "jurisdiction", "object_graph"} _MAPPING_KEYS = {"sheet_index", "jurisdiction", "object_graph"}
_MEMORY_KEYS = _COLLECTION_KEYS | _MAPPING_KEYS _MEMORY_KEYS = _COLLECTION_KEYS | _MAPPING_KEYS
+14 -11
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@@ -173,28 +173,31 @@ def run_agent_pipeline(
] ]
orchestrator.stage("Agent wave 5b: evidence verification") orchestrator.stage("Agent wave 5b: evidence verification")
sheet_to_page = {s.get("sheet_number"): s.get("page_number") for s in sheets} sheet_to_page = {str(s.get("sheet_number")): s.get("page_number")
for s in sheets}
verify_targets = select_findings( verify_targets = select_findings(
specialist_findings, clusters, specialist_findings, clusters,
max_checks=config.AGENT_VERIFY_MAX_CHECKS, max_checks=config.AGENT_VERIFY_MAX_CHECKS,
severities=config.AGENT_VERIFY_SEVERITIES, severities=config.AGENT_VERIFY_SEVERITIES,
) )
target_indexes = {id(f): i for i, f in enumerate(specialist_findings)} target_indexes = {id(f): i for i, f in enumerate(specialist_findings)}
verify_scopes = [ verify_scopes = []
AgentScope( for finding in verify_targets:
images = [
page_to_b64[sheet_to_page[str(name)]]
for name in (finding.get("sheets") or [])[:config.AGENT_CONFLICT_MAX_IMAGES]
if sheet_to_page.get(str(name)) in page_to_b64
]
if not images:
continue # never judge evidence against images we could not load
verify_scopes.append(AgentScope(
scope_id=f"verify:{target_indexes[id(finding)]}", scope_id=f"verify:{target_indexes[id(finding)]}",
payload={ payload={
"finding_index": target_indexes[id(finding)], "finding_index": target_indexes[id(finding)],
"finding": finding, "finding": finding,
"images_b64": [ "images_b64": images,
page_to_b64[sheet_to_page[name]]
for name in (finding.get("sheets") or [])[:config.AGENT_CONFLICT_MAX_IMAGES]
if sheet_to_page.get(name) in page_to_b64
],
}, },
) ))
for finding in verify_targets
]
verify_results = orchestrator.run_scopes( verify_results = orchestrator.run_scopes(
EvidenceVerifierAgent(usage), verify_scopes, config.AGENT_VERIFY_CONCURRENCY) EvidenceVerifierAgent(usage), verify_scopes, config.AGENT_VERIFY_CONCURRENCY)
suppressed = apply_verdicts(specialist_findings, verify_results) suppressed = apply_verdicts(specialist_findings, verify_results)
+1 -1
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@@ -216,7 +216,7 @@ def finalize_review(job_id: str, out_dir: str) -> dict:
rfis = _draft_rfis(kept) rfis = _draft_rfis(kept)
report["validated_issues"] = kept report["validated_issues"] = kept
report["suppressed_issues"] = suppressed report["suppressed_issues"] = (report.get("suppressed_issues") or []) + suppressed
report["rfis"] = rfis report["rfis"] = rfis
summary = report.setdefault("summary", {}) summary = report.setdefault("summary", {})
summary["agent_status"] = "complete" summary["agent_status"] = "complete"
+86
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@@ -0,0 +1,86 @@
"""Runner-level wave-5b tests: suppression path and zero-image guard."""
import backend.agents.runner as runner_mod
from backend.agents.base import AgentResult
from backend.agents.runner import run_agent_pipeline
def _finding(sheets):
return {
"issue_id": "C1", "severity": "critical", "confidence": "high",
"source_stage": "constructability", "sheets": sheets,
"description": "HSS16x4 on (2) 2x6 STUD PACK is unbuildable",
"evidence": [{"sheet": sheets[0], "source_text": "(2) 2x6 STUD PACK"}],
}
def _stub_agent(artifacts):
return lambda usage: type("S", (), {
"name": "stub",
"run": lambda self, scope: AgentResult(
scope_id=scope.scope_id, artifacts=list(artifacts)),
})()
def _patch_pipeline(monkeypatch, finding):
monkeypatch.setattr(
runner_mod, "convert_pdf_to_images",
lambda path: [{"page_number": 1, "base64": "QUJD"}])
monkeypatch.setattr(runner_mod, "SheetExtractorAgent", _stub_agent([
{"sheet_number": "S401", "page_number": 1, "level": "roof",
"discipline": "S", "assertions": [
{"text": "(2) 2x6 STUD PACK", "object_type": "framing"},
{"text": "HSS16X4 beam", "object_type": "framing"},
]},
]))
monkeypatch.setattr(runner_mod, "SheetIndexAgent", _stub_agent([{}]))
monkeypatch.setattr(runner_mod, "JurisdictionAgent", _stub_agent([{}]))
monkeypatch.setattr(runner_mod, "LinkerAgent", _stub_agent([
{"key": "c1", "location": "roof beam pocket", "assertions": []},
]))
monkeypatch.setattr(runner_mod, "ConflictCriticAgent", _stub_agent([]))
monkeypatch.setattr(runner_mod, "CodeAgent", _stub_agent([]))
monkeypatch.setattr(runner_mod, "ConstructabilityAgent", _stub_agent([finding]))
monkeypatch.setattr(runner_mod, "CompletenessAgent", _stub_agent([]))
monkeypatch.setattr(
runner_mod, "BrainAgent",
lambda usage: type("B", (), {
"run": lambda self, findings, sheet_index, jurisdiction:
(list(findings), [])})())
def test_refuted_finding_is_suppressed_not_crash(monkeypatch, tmp_path):
"""Regression: memory.replace("suppressed", ...) must not KeyError."""
_patch_pipeline(monkeypatch, _finding(["S401"]))
monkeypatch.setattr(
"backend.agents.verifier.call_json",
lambda **kwargs: {"verdicts": [
{"sheet": "S401", "source_text": "(2) 2x6 STUD PACK",
"verdict": "corrected", "actual_text": "(5) 2x6 STUD PACK",
"notes": "callout reads (5)"},
]})
pdf = tmp_path / "dummy.pdf"
pdf.write_bytes(b"%PDF-1.4\n")
report = run_agent_pipeline(str(pdf), out_dir=str(tmp_path),
require_review=False)
assert [f["issue_id"] for f in report["suppressed_issues"]] == ["C1"]
assert report["suppressed_issues"][0]["verification"]["status"] == "refuted"
def test_zero_image_finding_is_not_suppressed(monkeypatch, tmp_path):
"""A finding whose sheets resolve to no page images must not be judged
(and must never be refuted) without pixels."""
_patch_pipeline(monkeypatch, _finding(["S999"])) # no such sheet
monkeypatch.setattr(
"backend.agents.verifier.call_json",
lambda **kwargs: {"verdicts": [
{"sheet": "S999", "source_text": "(2) 2x6 STUD PACK",
"verdict": "not_found", "actual_text": None, "notes": None},
]})
pdf = tmp_path / "dummy.pdf"
pdf.write_bytes(b"%PDF-1.4\n")
report = run_agent_pipeline(str(pdf), out_dir=str(tmp_path),
require_review=False)
assert report["suppressed_issues"] == []
validated = report.get("validated_issues") or []
assert any(f.get("issue_id") == "C1" for f in validated)
+23
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@@ -85,6 +85,29 @@ def test_finalize_confirm_keeps_confirmed(monkeypatch, tmp_path):
assert report["summary"]["agent_status"] == "complete" assert report["summary"]["agent_status"] == "complete"
def test_finalize_preserves_verifier_suppressed(monkeypatch, tmp_path):
"""Wave-5b (verifier) suppressions must survive review finalization and
merge with review-rejected suppressions."""
monkeypatch.setattr("backend.review.finalizer._draft_rfis", lambda kept: [])
_write_job(
str(tmp_path),
prioritized=[{"issue_id": "AGENT-0001", "severity": "high"}],
queue=[_blocking_item("AGENT-0001")],
decisions=[{"review_item_id": "finding:AGENT-0001",
"decision": "reject", "reason_code": "not_a_contradiction"}],
)
path = os.path.join(str(tmp_path), "conflicts.json")
with open(path, encoding="utf-8") as f:
report = json.load(f)
report["suppressed_issues"] = [
{"issue_id": "C1", "verification": {"status": "refuted"}}]
with open(path, "w", encoding="utf-8") as f:
json.dump(report, f)
final = finalize_review("job1", str(tmp_path))
ids = [f["issue_id"] for f in final["suppressed_issues"]]
assert ids == ["C1", "AGENT-0001"]
def test_finalize_no_decision_keeps_unreviewed(monkeypatch, tmp_path): def test_finalize_no_decision_keeps_unreviewed(monkeypatch, tmp_path):
"""Non-blocking (audit) items don't need a decision; issue stays unreviewed.""" """Non-blocking (audit) items don't need a decision; issue stays unreviewed."""
monkeypatch.setattr("backend.review.finalizer._draft_rfis", lambda kept: []) monkeypatch.setattr("backend.review.finalizer._draft_rfis", lambda kept: [])