marius/Open_Ultra_SAST
1
0
Fork 0
mirror of https://github.com/norandom/OpenUltraSAST.git synced 2026-10-16 03:49:26 +00:00
Code Issues Packages Projects Releases Wiki Activity

ci: green again -- format and lint the whole tree; push the scan and runner images to GHCR on tags

Browse Source 
CI and the release job check `ruff format --check .` and `ruff check .` over the
whole repository, while the local gate checked only src and tests, so eight
benchmark scripts drifted and the v2.0.0 release job stopped before building.
The fixes are formatting, two noqa comments and one renamed loop variable; no
script computes anything differently. The local gate now checks the whole tree.

The release workflow gains an images job: Dockerfile -> ghcr.io/<owner>/openultrasast,
plane/Dockerfile.runner -> ghcr.io/<owner>/openultrasast-runner, tagged with the
version, and the digests written to the job summary.

Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
This commit is contained in:
Marius Ciepluch
2026-10-02 20:09:28 +02:00
co-authored by Claude Opus 5.5
parent c978de9ff8
commit d1aabf0f66
12 changed files with 256 additions and 38 deletions
Download Patch File Download Diff File Expand all files Collapse all files
benchmarks/dev/bulk_read.py
+7 -2
View File
@@ -36,9 +36,9 @@ def main() -> int:
parser.add_argument("files", nargs="+", type=Path)
parser.add_argument("--max-usd", type=float, default=0.05)
args = parser.parse_args()
from openultrasast import tool_hunter
from openultrasast.config import load_config
from openultrasast.model.endpoint import DEFAULT_DETECTOR_MODEL
from openultrasast import tool_hunter
load_config()
client = tool_hunter.resolve_hunter_client()
@@ -51,7 +51,12 @@ def main() -> int:
if float(client.cost_usd()) >= args.max_usd:
answers.append(f"[stopped at the ${args.max_usd} ceiling before: {chunk.splitlines()[0]}]")
break
response = client.complete(model=DEFAULT_DETECTOR_MODEL, messages=[{"role": "user", "content": PROMPT.format(question=args.question, files=chunk)}], tools=[], timeout_seconds=90)
response = client.complete(
model=DEFAULT_DETECTOR_MODEL,
messages=[{"role": "user", "content": PROMPT.format(question=args.question, files=chunk)}],
tools=[],
timeout_seconds=90,
)
answers.append((response.content or "").strip())
print("\n\n".join(a for a in answers if a))
print(f"\n[bulk_read: {len(chunks)} chunk(s), ${float(client.cost_usd()):.4f}]", file=sys.stderr)