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ci: run the tests/dincli full-GI integration suite in a separate CI job

Aperta
  • Qualcosa non va?
#228 4 commenti 0 reazioni 0 assegnatari Vedi su GitHub

I maintainer di solito rispondono entro 1 giorno

@sharmis-tp ci sta già lavorando.

Dal 10/10/2026.

  • #241 di @Santiagocetran — aperta

Valutazione

Difficoltà
4/5
Tempo stimato
3-5 giorni
Idoneità per principianti
52/100
Tipo di issue
Funzionalità
Chiarezza
Specificata chiaramente
Stato di attività
Attiva
Stack tecnologico
docker, github-actions, python, solidity
Ambito
ai, ci-cd, devops, testing

Direzione di ricerca

Read .github/workflows/ci.yml and tests/dincli/test_integration_marker.py, then review the prerequisite changes in PR #229 and the setup used by tests/dincli/. Add a separate CI job that runs the full suite against the foundry contracts and uploads logs on failure. Done means the job reaches GIended and both named testing guides explain the job and local reproduction.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Descrizione

enhancement

Summary

CI never runs the tests/dincli/ full-GI integration suite. The Python job runs pytest -m "not integration" -q (.github/workflows/ci.yml:136-137), and tests/test_integration_marker.py checks that exactly that directory is excluded. As a result the suite has drifted from the foundry contracts without anyone noticing. On develop @ 740a613 it can't pass:

  • Phase 1: it asserts a proxyAdmin key, but both deploy scripts now write per-contract proxyAdmin* keys (tests/dincli/test_01_platform.py:135-137,164).
  • Task contracts: they are deployed from hardhat artifacts (tests/dincli/constants.py:50). Those are the pre-foundry contracts, with no commit-reveal, rewards, seed lock or encrypted test data.
  • The GI phase: it never funds the reward pool, registers auditor keys, or runs the three reveal phases. It also asserts GIended as "23" (it's 25).

task-plan-051026-2 (PR #229, pending review) fixes the suite so it runs a complete GI on the foundry contracts. This issue tracks the follow-up: once the suite passes, run it in CI so it can't drift again.

Proposal

A separate integration job in ci.yml, kept apart from the fast Python job:

  • Triggers: PRs and pushes to develop that touch foundry/src/**, foundry/script/**, dincli/** or tests/dincli/**.
  • Setup:
    • Foundry, with forge build plus npm ci in foundry/.
    • Anvil via foundry/anvil.sh. Its --block-time 2 is what the seed-lock polling relies on.
    • An IPFS (kubo) daemon.
    • Docker, for the sandboxed din-worker containers that train-lms, evaluate and aggregate-* spawn.
    • Python 3.12 with pip install -e ..
  • Run: pytest tests/dincli/ -v -x -m integration --tb=short. Upload the dincli logs and the anvil output as artifacts when it fails.
  • Rollout: non-blocking (continue-on-error) at first. Make it a required check once it has been stable for a couple of weeks.
  • Cost: a full GI trains 9 clients and runs auditor and aggregator jobs in containers. Measure the runtime once. If it's too slow per PR, run it on push to develop and nightly instead, and run it on PRs only when a label is set.

Acceptance

  • The integration job runs the full-GI suite on anvil against the foundry contracts, through GIended.
  • Failures upload logs.
  • Developer/CONTRIBUTING.md and Documentation/technical/testing/dincli-testing-guide.md describe the job and how to reproduce it locally.

Depends on

  • task-plan-051026-2 (PR #229) TP-4: the suite has to pass a complete GI first.
Lingua principale
Python
Stelle
4
Fork
7
Merge medio
3g 4h
PR unite (30g)
34

Preparare l'ambiente

Questo progetto non fornisce container di sviluppo, Dockerfile né guida per i contributori, quindi l'ambiente è a tuo carico: parti dal suo README e consulta la nostra guida al primo contributo per i passaggi generali.

Come iniziare

  1. Leggi tutta la issue e poi la guida ai contributi del progetto.
  2. Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
  3. Fai un fork del repository e lavora su un branch.
  4. Apri una pull request che faccia riferimento al numero della issue.

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