fix delete_relationship() method #66
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,143 @@ | ||
| #!/usr/bin/env python3 | ||
| """ | ||
| Find critical Snyk findings linked to resolved issues where the issue | ||
|
||
| was resolved (updatedOn) within 15 days of being opened (createdOn). | ||
|
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| J1QL cannot perform property-to-property arithmetic in WHERE clauses, | ||
| so we retrieve both timestamps and filter in Python. | ||
|
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| Usage: | ||
| export JUPITERONE_ACCOUNT_ID="<your-account-id>" | ||
| export JUPITERONE_API_TOKEN="<your-api-token>" | ||
| python snyk_findings_resolved_within_15_days.py [--csv output.csv] | ||
| """ | ||
|
|
||
| import os | ||
| import sys | ||
| import csv | ||
| import argparse | ||
| from datetime import datetime, timezone | ||
|
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| from jupiterone import JupiterOneClient | ||
|
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| FIFTEEN_DAYS_MS = 15 * 24 * 60 * 60 * 1000 | ||
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| J1QL_QUERY = """\ | ||
| FIND snyk_finding WITH severity = 'critical' AS finding | ||
| THAT RELATES TO snyk_issue WITH status = 'resolved' AS issue | ||
| RETURN | ||
| finding.displayName AS findingName, | ||
| finding._key AS findingKey, | ||
| finding.severity AS severity, | ||
| issue.displayName AS issueName, | ||
| issue._key AS issueKey, | ||
| issue.status AS issueStatus, | ||
| issue.createdOn AS createdOn, | ||
| issue.updatedOn AS updatedOn | ||
| LIMIT 250\ | ||
| """ | ||
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| def ms_to_iso(epoch_ms): | ||
| """Convert epoch milliseconds to a human-readable ISO-8601 string.""" | ||
| if epoch_ms is None: | ||
| return "N/A" | ||
| try: | ||
| return datetime.fromtimestamp(epoch_ms / 1000, tz=timezone.utc).strftime( | ||
| "%Y-%m-%d %H:%M:%S UTC" | ||
| ) | ||
| except (TypeError, ValueError, OSError): | ||
| return str(epoch_ms) | ||
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|
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| def main(): | ||
| parser = argparse.ArgumentParser( | ||
| description="Find critical Snyk findings resolved within 15 days." | ||
| ) | ||
| parser.add_argument( | ||
| "--csv", | ||
| metavar="FILE", | ||
| help="Write results to a CSV file instead of stdout.", | ||
| ) | ||
| args = parser.parse_args() | ||
|
|
||
| account = os.getenv("JUPITERONE_ACCOUNT_ID") | ||
| token = os.getenv("JUPITERONE_API_TOKEN") | ||
| if not account or not token: | ||
| sys.exit( | ||
| "Error: JUPITERONE_ACCOUNT_ID and JUPITERONE_API_TOKEN " | ||
| "environment variables are required." | ||
| ) | ||
|
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| j1 = JupiterOneClient( | ||
| account=account, | ||
| token=token, | ||
| url=os.getenv("JUPITERONE_URL", "https://graphql.us.jupiterone.io"), | ||
| sync_url=os.getenv("JUPITERONE_SYNC_URL", "https://api.us.jupiterone.io"), | ||
| ) | ||
|
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| print(f"Executing J1QL query ...\n{J1QL_QUERY}\n") | ||
| result = j1.query_v1(query=J1QL_QUERY) | ||
| rows = result.get("data", []) | ||
| print(f"Total rows returned: {len(rows)}") | ||
|
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| filtered = [] | ||
| skipped_missing_dates = 0 | ||
|
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| for row in rows: | ||
| props = row.get("properties", row) | ||
| created_on = props.get("createdOn") | ||
| updated_on = props.get("updatedOn") | ||
|
|
||
| if created_on is None or updated_on is None: | ||
| skipped_missing_dates += 1 | ||
| continue | ||
|
|
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| delta_ms = updated_on - created_on | ||
| if delta_ms <= FIFTEEN_DAYS_MS: | ||
| filtered.append( | ||
| { | ||
| "findingName": props.get("findingName", ""), | ||
| "findingKey": props.get("findingKey", ""), | ||
| "severity": props.get("severity", ""), | ||
| "issueName": props.get("issueName", ""), | ||
| "issueKey": props.get("issueKey", ""), | ||
| "issueStatus": props.get("issueStatus", ""), | ||
| "createdOn": created_on, | ||
| "updatedOn": updated_on, | ||
| "createdOnHuman": ms_to_iso(created_on), | ||
| "updatedOnHuman": ms_to_iso(updated_on), | ||
| "daysToResolve": round(delta_ms / (24 * 60 * 60 * 1000), 2), | ||
| } | ||
| ) | ||
|
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| print(f"Rows matching <=15-day window: {len(filtered)}") | ||
| if skipped_missing_dates: | ||
| print(f"Rows skipped (missing createdOn/updatedOn): {skipped_missing_dates}") | ||
|
|
||
| if not filtered: | ||
| print("No matching results.") | ||
| return | ||
|
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| if args.csv: | ||
| fieldnames = list(filtered[0].keys()) | ||
| with open(args.csv, "w", newline="") as f: | ||
| writer = csv.DictWriter(f, fieldnames=fieldnames) | ||
| writer.writeheader() | ||
| writer.writerows(filtered) | ||
| print(f"\nResults written to {args.csv}") | ||
| else: | ||
| print(f"\n{'Finding':<40} {'Issue':<40} {'Created':<24} {'Updated':<24} {'Days':>6}") | ||
| print("-" * 138) | ||
| for r in filtered: | ||
| print( | ||
| f"{r['findingName']:<40} " | ||
| f"{r['issueName']:<40} " | ||
| f"{r['createdOnHuman']:<24} " | ||
| f"{r['updatedOnHuman']:<24} " | ||
| f"{r['daysToResolve']:>6}" | ||
| ) | ||
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| if __name__ == "__main__": | ||
| main() | ||
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I'm unfamiliar with the purpose of the timestamp argument.
Consider including details on what the timestamp does and why a user would want to include it.