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Externalize detection rules to versioned TOML and remove rule-local severity, so rules detect and the central CWE policy decides severity — fixing "rules too influential / not centrally managed". Zero-dependency; detection is byte-identical (benchmark recall 44/47 = 93.6%, FP 0% unchanged) and the 90/10 gate holds. - RulesetStore (ruleset/store.py + ruleset/<lang>/rules.toml): PatternRule as data (rule_id, title, languages, cwe, tags, pattern, status, min_evidence_level, precision_estimate, version) with NO severity; load_ruleset (sorted, with optional rule_policy.json ledger overlay) and a stdlib TOML write_ruleset. The 32 rules were generated from the prior PATTERN_RULES with a verified exact round-trip (pattern/cwe/languages/tags/title). - findings.py: drop the hardcoded PatternRule class + PATTERN_RULES tuple; load the default ruleset from TOML; quick_scan_findings(root, targets, rankings, ruleset, policy) resolves each finding's severity from policy via resolve_severity (SEVERITY_LABEL maps 0-5 -> string) and tags findings with their rule status. - Three-status volume control: StaticFinding gains status (default "enabled"); disabled rules never fire; shadow findings are partitioned out of the report and score in the CLI (written to shadow_findings.json) — no shadow rules by default. - Emission floors (RulesetConfig.min_emit_priority / min_emit_precision, default 0.0 = emit all) replace "every match is a finding". - CLI loads the ruleset as a stage and uses it for the fail-loud policy check, detection, hunter pool, and the score CWE map. Wheel ships the ruleset TOML. 85 tests pass; ruff + mypy clean. Spec tasks 3.1-3.4 checked off. Co-Authored-By: Claude Opus 4.8 <[email protected]>
43 lines
1.7 KiB
Python
43 lines
1.7 KiB
Python
"""Phase 1 in-pipeline wiring: project score artifact + fail-loud CWE invariant."""
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import json
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from pathlib import Path
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from types import SimpleNamespace
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import pytest
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from openultrasast import cli
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from openultrasast.cli import main
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from openultrasast.policy import PolicyError
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def test_scan_writes_score_artifact_and_manifest_block(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
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repo = tmp_path / "repo"
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repo.mkdir()
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(repo / "app.py").write_text("@app.route('/x')\ndef view():\n return eval(request.data)\n")
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monkeypatch.setenv("OPENULTRASAST_RUNS_DIR", ".runs")
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assert main(["scan", str(repo), "--mode", "quick"]) == 0
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run_dir = sorted((repo / ".runs").iterdir())[-1]
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score = json.loads((run_dir / "score.json").read_text())
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manifest = json.loads((run_dir / "manifest.json").read_text())
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assert isinstance(score["project_score"], int) and 0 <= score["project_score"] <= 100
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assert set(score["gate"]) == {"min_score", "block_severity_reachable", "blocking", "passed"}
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assert manifest["score"] == score
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assert manifest["artifacts"]["score"] == "score.json"
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def test_scan_fails_loud_when_an_enabled_rule_cwe_is_unmapped(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
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repo = tmp_path / "repo"
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repo.mkdir()
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(repo / "app.py").write_text("x = 1\n")
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monkeypatch.setenv("OPENULTRASAST_RUNS_DIR", ".runs")
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unmapped = SimpleNamespace(rule_id="bogus", cwe="CWE-99999", status="enabled")
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real_loader = cli.load_ruleset
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monkeypatch.setattr(cli, "load_ruleset", lambda *a, **k: (*real_loader(*a, **k), unmapped))
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with pytest.raises(PolicyError):
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main(["scan", str(repo), "--mode", "quick"])
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