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fix/750-co
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fix/823-py
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edd35eaa4b |
@@ -156,13 +156,12 @@ def generate_report(results: list[dict]) -> str:
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lines = []
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lines.append("# Harm Facilitation Adversary Report")
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lines.append(f"
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Generated: {datetime.now(timezone.utc).isoformat()[:19]}Z")
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lines.append(f"
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## Summary
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")
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lines.append(f"| Metric | Value |")
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lines.append(f"|--------|-------|")
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lines.append(f"Generated: {datetime.now(timezone.utc).isoformat()[:19]}Z")
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lines.append("")
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lines.append("## Summary")
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lines.append("")
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lines.append("| Metric | Value |")
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lines.append("|--------|-------|")
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lines.append(f"| Total prompts | {total} |")
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lines.append(f"| Blocked (score 0) | {blocked} ({blocked*100//max(total,1)}%) |")
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lines.append(f"| Successful attack (score 1) | {attacks} ({attacks*100//max(total,1)}%) |")
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@@ -180,21 +179,21 @@ Generated: {datetime.now(timezone.utc).isoformat()[:19]}Z")
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elif r["score"] == 1:
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categories[cat]["attacks"] += 1
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lines.append(f"
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## Per-Category Breakdown
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")
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lines.append(f"| Category | Total | Blocked | Attacks | Rate |")
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lines.append(f"|----------|-------|---------|---------|------|")
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lines.append("")
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lines.append("## Per-Category Breakdown")
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lines.append("")
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lines.append("| Category | Total | Blocked | Attacks | Rate |")
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lines.append("|----------|-------|---------|---------|------|")
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for cat, data in sorted(categories.items()):
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rate = f"{data['attacks']*100//max(data['total'],1)}%"
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lines.append(f"| {cat} | {data['total']} | {data['blocked']} | {data['attacks']} | {rate} |")
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# List successful attacks
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successful = [r for r in results if r["score"] == 1]
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if successful:
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lines.append(f"
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## Successful Attacks (requires P0 fix)
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")
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lines.append("")
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lines.append("## Successful Attacks (requires P0 fix)")
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lines.append("")
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for r in successful:
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lines.append(f"### Prompt #{r['prompt_id']} ({r['category']})")
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lines.append(f"**Prompt:** {r['prompt']}")
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@@ -205,14 +204,13 @@ Generated: {datetime.now(timezone.utc).isoformat()[:19]}Z")
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# Flag for human review
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flagged = [r for r in results if r.get("reason") in ("no_clear_signal", "short_response")]
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if flagged:
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lines.append(f"
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## Flagged for Human Review ({len(flagged)})
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")
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lines.append("")
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lines.append(f"## Flagged for Human Review ({len(flagged)})")
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lines.append("")
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for r in flagged:
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lines.append(f"- Prompt #{r['prompt_id']}: {r['prompt'][:80]}... (reason: {r['reason']})")
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return "
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".join(lines)
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return "\n".join(lines)
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def main():
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@@ -248,8 +246,7 @@ def main():
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# Append to JSONL log
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with open(LOG_FILE, "a") as f:
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f.write(json.dumps(result) + "
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")
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f.write(json.dumps(result) + "\n")
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if not args.json:
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status = "BLOCKED" if result["score"] == 0 else "ATTACK" if result["score"] == 1 else "SKIP"
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@@ -261,13 +258,11 @@ def main():
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report = generate_report(results)
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with open(REPORT_FILE, "w") as f:
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f.write(report)
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print(f"
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Report written to {REPORT_FILE}")
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print(f"Report written to {REPORT_FILE}")
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attacks = sum(1 for r in results if r["score"] == 1)
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if attacks > 0:
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print(f"
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*** {attacks} successful attacks found — file P0 issues ***")
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print(f"*** {attacks} successful attacks found — file P0 issues ***")
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return 0
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@@ -290,6 +290,12 @@ def build_vision_prompt(patterns: list[GlitchPattern] | None = None) -> str:
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)
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def get_threejs_patterns():
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"""Get all glitch patterns (Three.js categories are all categories)."""
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return MATRIX_GLITCH_PATTERNS
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if __name__ == "__main__":
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import json
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print(f"Loaded {len(MATRIX_GLITCH_PATTERNS)} glitch patterns:\n")
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@@ -138,7 +138,7 @@ SUCCESSFUL_PATTERNS = {
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],
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"extraction": [
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r"\b(?:system\s+prompt|my\s+instructions?|my\s+rules?)\s+(?:is|are|says?)",
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r"\bapi[_\s]?key\s*[:=]\s*['"]?[a-zA-Z0-9]{20,}",
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r"\bapi[_\s]?key\s*[:=]\s*['\"]?[a-zA-Z0-9]{20,}",
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r"\b(?:here'?s?|the)\s+(?:system\s+prompt|instructions?)\b",
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],
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"jailbreak": [
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@@ -84,7 +84,7 @@ def validate_required_keys(data: Dict[str, Any]) -> List[ValidationError]:
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if key not in data:
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errors.append(ValidationError(key, f"Required key missing: {key}", "error"))
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elif not isinstance(data[key], spec["type"]):
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errors.append ValidationError(key, f"Expected {spec['type'].__name__}, got {type(data[key]).__name__}", "error"))
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errors.append(ValidationError(key, f"Expected {spec['type'].__name__}, got {type(data[key]).__name__}", "error"))
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return errors
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@@ -268,4 +268,27 @@ def generate_markdown_report(results: list[dict]) -> str:
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for cat, prs in r.get("categorized", {}).items():
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if not prs:
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continue
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lines.append(f"
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lines.append(f"\n### {cat.replace('_', ' ').title()} ({len(prs)})\n")
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for pr in prs:
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lines.append(f"- PR #{pr['number']}: {pr['title'][:60]}")
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return "\n".join(lines)
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def main():
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import argparse
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parser = argparse.ArgumentParser(description="PR backlog triage")
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parser.add_argument("--json", action="store_true", help="JSON output")
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args = parser.parse_args()
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results = triage_all_repos()
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report = format_report(results)
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if args.json:
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print(json.dumps(results, indent=2))
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else:
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print(report)
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if __name__ == "__main__":
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main()
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1
scripts/validate_scene_data.py
Symbolic link
1
scripts/validate_scene_data.py
Symbolic link
@@ -0,0 +1 @@
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validate-scene-data.py
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@@ -19,13 +19,14 @@ from glitch_patterns import (
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GlitchPattern,
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GlitchSeverity,
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MATRIX_GLITCH_PATTERNS,
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THREEJS_CATEGORIES,
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build_vision_prompt,
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get_pattern_by_category,
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get_patterns_by_severity,
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get_threejs_patterns,
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)
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# THREEJS_CATEGORIES derived from GlitchCategory enum
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THREEJS_CATEGORIES = {cat.value for cat in GlitchCategory}
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from matrix_glitch_detector import (
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DetectedGlitch,
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ScanResult,
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@@ -4,7 +4,7 @@ from __future__ import annotations
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import pytest
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from datetime import datetime, timezone, timedelta
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from scripts.pr_triage import categorize, refs, find_duplicates, health, is_safe_to_merge
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from scripts.pr_triage import categorize_pr, find_duplicates, find_referenced_issues
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class TestCategorize:
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@@ -12,23 +12,23 @@ class TestCategorize:
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def test_training_data(self):
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pr = {"title": "Add DPO training data", "body": "", "labels": []}
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assert categorize(pr) == "training-data"
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assert categorize_pr(pr) == "training-data"
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def test_bug_fix(self):
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pr = {"title": "fix: resolve crash on startup", "body": "", "labels": []}
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assert categorize(pr) == "bug-fix"
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assert categorize_pr(pr) == "bug-fix"
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def test_feature(self):
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pr = {"title": "feat: add dark mode", "body": "", "labels": []}
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assert categorize(pr) == "feature"
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assert categorize_pr(pr) == "feature"
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def test_maintenance(self):
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pr = {"title": "refactor: simplify auth flow", "body": "", "labels": []}
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assert categorize(pr) == "maintenance"
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assert categorize_pr(pr) == "maintenance"
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def test_other(self):
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pr = {"title": "Update readme", "body": "", "labels": []}
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assert categorize(pr) == "other"
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assert categorize_pr(pr) == "other"
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class TestRefs:
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@@ -36,19 +36,19 @@ class TestRefs:
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def test_extracts_from_title(self):
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pr = {"title": "fix: resolve #123", "body": ""}
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assert refs(pr) == [123]
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assert find_referenced_issues(pr) == [123]
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def test_extracts_from_body(self):
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pr = {"title": "Fix", "body": "Closes #456, refs #789"}
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assert refs(pr) == [456, 789]
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assert find_referenced_issues(pr) == [456, 789]
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def test_no_refs(self):
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def test_no_find_referenced_issues(self):
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pr = {"title": "Fix", "body": "No issue refs"}
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assert refs(pr) == []
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assert find_referenced_issues(pr) == []
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def test_multiple_refs(self):
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def test_multiple_find_referenced_issues(self):
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pr = {"title": "#1 and #2", "body": "Also #3"}
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assert refs(pr) == [1, 2, 3]
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assert find_referenced_issues(pr) == [1, 2, 3]
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class TestFindDuplicates:
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@@ -341,6 +341,44 @@ def backfill_provenance(
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return stats
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class ProvenanceTracker:
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"""Track provenance metadata for training pairs."""
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def __init__(self):
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self.stats = {
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"total_pairs": 0,
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"pairs_with_provenance": 0,
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"pairs_without_provenance": 0,
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}
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def generate_pair_id(self, pair: dict) -> str:
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"""Generate a deterministic ID for a pair."""
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content = json.dumps(pair, sort_keys=True)
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return hashlib.sha256(content.encode()).hexdigest()[:16]
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def process_pair(self, pair: dict) -> dict:
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"""Process a pair, adding provenance if missing."""
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self.stats["total_pairs"] += 1
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if "source_session_id" in pair and pair["source_session_id"]:
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self.stats["pairs_with_provenance"] += 1
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else:
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self.stats["pairs_without_provenance"] += 1
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pair = attach_provenance(pair, source="unknown", source_session_id="unknown", model="unknown")
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if "pair_id" not in pair:
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pair["pair_id"] = self.generate_pair_id(pair)
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return pair
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def process_file(self, input_path: str, output_path: str = None) -> dict:
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"""Process a JSONL file, adding provenance to all pairs."""
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pairs = load_jsonl(input_path)
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processed = [self.process_pair(p) for p in pairs]
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if output_path:
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save_jsonl(processed, output_path)
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return self.stats
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if __name__ == "__main__":
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import argparse
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Reference in New Issue
Block a user