fix: pin customer container images and restore SDK CI (#15)

* Pin Docker images to immutable digests

* fix: restore packaged scanner and cross-platform CI

---------

Co-authored-by: Michael D'Angelo <mdangelo@openai.com>

Author: GrantBirki

sdk/typescript/_bundled_plugin/scripts/normalize_candidates.py

@@ -0,0 +1,276 @@
+#!/usr/bin/env python3
+"""Validate and combine security-scan candidates into deterministic JSONL."""
+
+from __future__ import annotations
+
+import argparse
+import hashlib
+import json
+import re
+import sys
+import tempfile
+from pathlib import Path, PurePosixPath
+from typing import Any
+
+CWE = re.compile(r"(?i)CWE-(\d+)")
+ROLES = {
+    "entrypoint": 0,
+    "entrypoint/wrapper": 1,
+    "source": 2,
+    "root_control": 3,
+    "sink": 4,
+    "concrete_implementation": 5,
+    "evidence": 6,
+}
+FIELDS = {
+    "candidate_id",
+    "cwe_ids",
+    "locations",
+    "summary",
+    "evidence",
+    "context",
+    "instance",
+}
+
+
+def text_field(row: dict[str, Any], field: str, *, required: bool = True) -> str | None:
+    value = row.get(field)
+    if value is None and not required:
+        return None
+    if not isinstance(value, str) or not value.strip():
+        raise ValueError(f"{field}: expected a non-empty string")
+    return value.strip()
+
+
+def cwe_ids(row: dict[str, Any]) -> list[str]:
+    value = row.get("cwe_ids")
+    if not isinstance(value, list):
+        raise ValueError("cwe_ids: expected an array")
+    found: set[int] = set()
+    for item in value:
+        if not isinstance(item, str):
+            raise ValueError("cwe_ids: expected CWE strings")
+        match = CWE.fullmatch(item.strip())
+        if match is None or int(match[1]) < 1:
+            raise ValueError(f"cwe_ids: unsupported value {item!r}")
+        found.add(int(match[1]))
+    return [f"CWE-{number}" for number in sorted(found)]
+
+
+def relative_file(value: Any, repo_root: Path) -> tuple[str, Path]:
+    if not isinstance(value, str) or not value or "\0" in value:
+        raise ValueError("path: expected a non-empty repository-relative path")
+    raw = value
+    if sys.platform == "win32":
+        raw = raw.replace("\\", "/")
+    path = PurePosixPath(raw)
+    if (
+        path.is_absolute()
+        or ".." in path.parts
+        or (sys.platform == "win32" and re.match(r"^[A-Za-z]:", raw))
+    ):
+        raise ValueError("path: expected a repository-relative path without traversal")
+    resolved = (repo_root / raw).resolve(strict=True)
+    try:
+        relative = resolved.relative_to(repo_root).as_posix()
+    except ValueError as error:
+        raise ValueError("path: must resolve inside --repo-root") from error
+    if not resolved.is_file():
+        raise ValueError("path: expected a regular file")
+    return relative, resolved
+
+
+def positive_line(value: Any, field: str) -> int:
+    if not isinstance(value, int) or isinstance(value, bool) or value < 1:
+        raise ValueError(f"{field}: expected a positive integer")
+    return value
+
+
+def normalize_locations(
+    row: dict[str, Any], repo_root: Path, line_counts: dict[Path, int]
+) -> list[dict[str, Any]]:
+    value = row.get("locations")
+    if not isinstance(value, list) or not value:
+        raise ValueError("locations: expected a non-empty array")
+    normalized: dict[tuple[str, int, int, str], dict[str, Any]] = {}
+    for item in value:
+        if not isinstance(item, dict):
+            raise ValueError("locations: expected location objects")
+        unknown = set(item) - {"path", "start_line", "end_line", "role"}
+        if unknown:
+            raise ValueError(f"locations: unsupported fields {', '.join(sorted(unknown))}")
+        relative, source = relative_file(item.get("path"), repo_root)
+        start = positive_line(item.get("start_line"), "start_line")
+        end = positive_line(item.get("end_line", start), "end_line")
+        if end < start:
+            raise ValueError("end_line: must be greater than or equal to start_line")
+        if source not in line_counts:
+            line_counts[source] = len(source.read_bytes().splitlines())
+        if end > line_counts[source]:
+            raise ValueError(f"line range {start}-{end} exceeds {relative}:{line_counts[source]}")
+        role = item.get("role")
+        if not isinstance(role, str) or role not in ROLES:
+            raise ValueError(f"role: unsupported value {role!r}")
+        key = (relative, start, end, role)
+        normalized[key] = {
+            "path": relative,
+            "start_line": start,
+            "end_line": end,
+            "role": role,
+        }
+    return sorted(
+        normalized.values(),
+        key=lambda item: (
+            ROLES[item["role"]],
+            item["path"],
+            item["start_line"],
+            item["end_line"],
+        ),
+    )
+
+
+def read_scope(path: Path, repo_root: Path) -> set[str]:
+    scope: set[str] = set()
+    for number, line in enumerate(path.read_bytes().decode("utf-8").split("\n"), 1):
+        if sys.platform == "win32":
+            line = line.removesuffix("\r")
+        if not line:
+            continue
+        try:
+            relative, _ = relative_file(line, repo_root)
+        except (OSError, ValueError) as error:
+            raise ValueError(f"in-scope file row {number}: {error}") from error
+        scope.add(relative)
+    return scope
+
+
+def normalize_candidate(
+    row: dict[str, Any], repo_root: Path, scope: set[str], line_counts: dict[Path, int]
+) -> dict[str, Any]:
+    unknown = set(row) - FIELDS
+    if unknown:
+        raise ValueError(f"unsupported fields {', '.join(sorted(unknown))}")
+    if "candidate_id" in row:
+        text_field(row, "candidate_id")
+    candidate_locations = normalize_locations(row, repo_root, line_counts)
+    if not any(item["path"] in scope for item in candidate_locations):
+        raise ValueError("locations: expected at least one in-scope file")
+    result: dict[str, Any] = {
+        "cwe_ids": cwe_ids(row),
+        "locations": candidate_locations,
+        "summary": text_field(row, "summary"),
+        "evidence": text_field(row, "evidence"),
+    }
+    context = text_field(row, "context", required=False)
+    if context is not None:
+        result["context"] = context
+    instance = text_field(row, "instance", required=False)
+    if instance is not None:
+        result["instance"] = instance
+    return result
+
+
+def identity(row: dict[str, Any]) -> str:
+    return json.dumps(
+        {
+            "cwe_ids": row["cwe_ids"],
+            "locations": row["locations"],
+            "instance": row.get("instance"),
+        },
+        ensure_ascii=False,
+        separators=(",", ":"),
+        sort_keys=True,
+    )
+
+
+def merged_text(group: list[dict[str, Any]], field: str) -> str:
+    return "\n".join(sorted({item[field] for item in group if field in item}))
+
+
+def combine(rows: list[dict[str, Any]]) -> list[dict[str, Any]]:
+    groups: dict[str, list[dict[str, Any]]] = {}
+    for row in rows:
+        groups.setdefault(identity(row), []).append(row)
+    combined: list[dict[str, Any]] = []
+    for key, group in sorted(groups.items()):
+        candidate_id = hashlib.sha256(key.encode()).hexdigest()[:16]
+
+        result = {
+            "candidate_id": f"candidate-{candidate_id}",
+            "cwe_ids": group[0]["cwe_ids"],
+            "locations": group[0]["locations"],
+            "summary": merged_text(group, "summary"),
+            "evidence": merged_text(group, "evidence"),
+        }
+        context = merged_text(group, "context")
+        if context:
+            result["context"] = context
+        if "instance" in group[0]:
+            result["instance"] = group[0]["instance"]
+        combined.append(result)
+    return combined
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--input", nargs="+", required=True, help="Candidate JSONL inputs.")
+    parser.add_argument("--out", required=True, help="Combined candidate JSONL output.")
+    parser.add_argument("--repo-root", required=True, help="Repository root for candidate paths.")
+    parser.add_argument("--in-scope-files", required=True, help="Repository-relative file list.")
+    args = parser.parse_args()
+    try:
+        repo_root = Path(args.repo_root).expanduser().resolve(strict=True)
+        if not repo_root.is_dir():
+            raise ValueError("--repo-root: expected a directory")
+        output = Path(args.out).expanduser().resolve(strict=False)
+        scope_path = Path(args.in_scope_files).expanduser().resolve(strict=True)
+        inputs = sorted({Path(value).expanduser().resolve(strict=True) for value in args.input})
+        if output in inputs:
+            raise ValueError("--out: must not also be an input")
+        if output == scope_path:
+            raise ValueError("--out: must not replace --in-scope-files")
+        scope = read_scope(scope_path, repo_root)
+        line_counts: dict[Path, int] = {}
+        rows: list[dict[str, Any]] = []
+        for source in inputs:
+            with source.open(encoding="utf-8") as handle:
+                for number, line in enumerate(handle, 1):
+                    if not line.strip():
+                        continue
+                    try:
+                        row = json.loads(line)
+                        if not isinstance(row, dict):
+                            raise ValueError("expected a JSON object")
+                        rows.append(normalize_candidate(row, repo_root, scope, line_counts))
+                    except (ValueError, TypeError, OSError) as error:
+                        raise ValueError(f"{source} row {number}: {error}") from error
+        combined = combine(rows)
+        output.parent.mkdir(parents=True, exist_ok=True)
+        payload = "".join(
+            json.dumps(row, ensure_ascii=False, separators=(",", ":"), sort_keys=True) + "\n"
+            for row in combined
+        )
+        temporary: Path | None = None
+        try:
+            with tempfile.NamedTemporaryFile(
+                mode="w",
+                encoding="utf-8",
+                dir=output.parent,
+                prefix=f".{output.name}.",
+                suffix=".tmp",
+                delete=False,
+            ) as handle:
+                temporary = Path(handle.name)
+                handle.write(payload)
+            temporary.replace(output)
+        finally:
+            if temporary is not None:
+                temporary.unlink(missing_ok=True)
+        print(f"Combined {len(rows)} candidate rows into {len(combined)} rows in {output}")
+    except (OSError, ValueError) as error:
+        print(f"normalize_candidates: {error}", file=sys.stderr)
+        raise SystemExit(2) from error
+
+
+if __name__ == "__main__":
+    main()