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feat(provenance): publish each provenance bundle to Kubo, best effort

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#67 0 則留言 0 個 reaction 已指派 0 人 在 GitHub 檢視

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評估

難度
4/5
預估耗時
3-5 天
新手友好度
48/100
Issue 類型
功能
描述清晰度
基本清楚
活躍度
活躍
技術堆疊
python

研究方向

Start by reading the implementation of record_run_provenance, the Kubo client, and StorageReference; the issue does not name their files or tests. Trace how a completed run stores its canonical bundle and how failures are recorded, then run the backend tests with a failing Kubo mock. Done means successful uploads are retrievable by CID, while Kubo failures preserve the run result and mark the bundle unpublished.

由索引模型根據 Issue 內容生成。

描述

enhancement kubo storage tier-2

Summary

After a provenance bundle is recorded, add it to the platform node and store the CID as a StorageReference.

Estimated size: M

Motivation

Gives bundles a content-addressed home that anyone can verify against the bundle hash.

Proposal

  • After record_run_provenance, add the canonical bundle JSON through the Kubo client and append a StorageReference.
  • Best effort: a Kubo failure is logged and flagged on the run; it never fails the job or discards the result.
  • The CID covers the uploaded JSON bytes, not the canonical commitment, so verification must parse the bundle and compare bundle_hash.

Acceptance criteria

  • A completed run has a bundle retrievable by its CID.
  • With Kubo down, the run still completes and the bundle is marked unpublished.
  • A test proves the job result is preserved when publishing fails.

Dependencies

  • #61
  • #4 and the provenance PRs (#34 to #37) merged first.

Testing plan

  • Backend tests with a failing Kubo mock.

Part of #43. Ground rules for the content layer: no secrets in the repo, content-layer failures must never block or discard quantum execution, and tests and docs ship with every PR.

主要語言
Python
星號
2
分支
4
平均合併
6 小時 14 分鐘
30 天內合併 PR
18

環境準備

  • 提供 Dockerfile 或 Docker Compose 檔案
  • 沒有 Pull Request 範本
  • 沒有貢獻指南

從這裡開始

  1. 先讀完整個 Issue,再讀專案的貢獻指南。
  2. 在 Issue 下留言說明你要接手 —— 這能避免兩個人做同樣的事。
  3. Fork 儲存庫,在一個分支上完成修改。
  4. 送出 Pull Request,並在描述裡引用這個 Issue 編號。

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