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https://github.com/bytedance/deer-flow.git
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41658c5ff4
* feat(skills): add skill review quality gate * fix(skills): skip review eval fixtures in CI * fix(skills): ignore review eval fixtures in bundled scans * fix(skill-review): harden review gate boundaries * fix(skills): address skill review gate feedback
34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
"""Canonical package digest for review snapshots."""
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from __future__ import annotations
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import hashlib
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from typing import Any
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from deerflow.skills.review.models import normalize_relative_path
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def compute_package_digest(snapshot: dict[str, Any]) -> str:
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"""Return a host-path-independent SHA-256 digest for a package snapshot."""
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records: list[bytes] = []
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for file_entry in snapshot.get("files", []):
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path = normalize_relative_path(str(file_entry["path"]))
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kind = str(file_entry.get("kind") or "unknown")
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size = int(file_entry.get("size") or 0)
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content_digest = str(file_entry.get("sha256") or "")
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record = b"\0".join(
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[
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kind.encode("utf-8"),
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path.encode("utf-8"),
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str(size).encode("ascii"),
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content_digest.encode("ascii"),
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]
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)
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records.append(record)
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h = hashlib.sha256()
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for record in sorted(records):
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h.update(len(record).to_bytes(8, "big"))
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h.update(record)
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return f"sha256:{h.hexdigest()}"
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