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3 changes: 3 additions & 0 deletions .jules/bolt.md
Original file line number Diff line number Diff line change
Expand Up @@ -77,3 +77,6 @@
## 2024-11-20 - Optimize multiple tuple generation from a single collection
**Learning:** `build_rule_metadata` derives exactly two collections, `owasp` and `cwe`, from the same references. Replacing its two generator traversals with one explicit loop reduces element visits from about 2N to N. Both versions remain O(N), so this is a constant-factor optimization rather than an asymptotic complexity improvement.
**Action:** Combine repeated traversal when fixed derived collections share one source, while preserving ordering and classification semantics. Benchmark the production hot path before claiming a material wall-clock improvement.
## 2025-02-12 - O(1) SARIF Rule Index Lookup Optimization
**Learning:** In Python, calling `list(dict).index(key)` inside a loop over data items causes severe O(N^2) performance degradation because it creates a new list and performs a linear search on every iteration. This pattern was found in `appguardrail_core/sarif.py` during SARIF generation.
**Action:** Always avoid `list(dict).index()` inside loops. Maintain a parallel index mapping dictionary (e.g., `indices[key] = len(indices)`) to achieve O(1) lookups and keep the overall loop bounded to O(N) time complexity.
5 changes: 4 additions & 1 deletion appguardrail_core/sarif.py
Original file line number Diff line number Diff line change
Expand Up @@ -39,12 +39,15 @@ def findings_to_sarif(
normalized = normalize_findings(findings)

rules: dict[str, dict[str, Any]] = {}
rule_indices: dict[str, int] = {}
results: list[dict[str, Any]] = []
for f in normalized:
rule_id = f["rule_id"]
severity = f["severity"]
refs = f.get("references") or ()
if rule_id not in rules:
# ⚡ Bolt: Maintain O(1) index lookup to avoid list(rules).index() O(N) overhead
rule_indices[rule_id] = len(rules)
rule: dict[str, Any] = {
"id": rule_id,
"name": rule_id,
Expand All @@ -68,7 +71,7 @@ def findings_to_sarif(
results.append(
{
"ruleId": rule_id,
"ruleIndex": list(rules).index(rule_id),
"ruleIndex": rule_indices[rule_id],
"level": _LEVEL.get(severity, "note"),
"message": {"text": f["message"].strip()},
"locations": [
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