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feat(shadow,#18923): gel de la 676, premiere candidate QC ; plan-qc lit le chemin depuis la racine #19250

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Merged
myia-ai-01 merged 1 commit into from
Oct 5, 2026
Merged

feat(shadow,#18923): gel de la 676, premiere candidate QC ; plan-qc lit le chemin depuis la racine #19250

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6 changes: 4 additions & 2 deletions MyIA.AI.Notebooks/QuantConnect/ML-Training-Pipeline/scripts/shadow_replay.py
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Original file line number Diff line number Diff line change
Expand Up @@ -290,8 +290,10 @@ def plan_qc(repo: Path, candidate: dict, pass_date: str, out_dir: Path) -> dict:
clash = sorted(set(candidate["params"]) & set(QC_RESERVED_PARAMS))
if clash:
raise ValueError(f"{candidate['id']}: params {clash} are reserved for the replay dates")
names = [n for n in _git(repo, "ls-tree", "-r", "--name-only", candidate["sha"], "--",
project_dir).splitlines() if n.endswith(".py")]
# --full-tree : le chemin du point d'entree est relatif a la racine du depot, meme quand
# `repo` est un sous-dossier (la commande se lance depuis ML-Training-Pipeline/).
names = [n for n in _git(repo, "ls-tree", "-r", "--full-tree", "--name-only", candidate["sha"],
"--", project_dir).splitlines() if n.endswith(".py")]
if not names:
raise ValueError(f"{candidate['id']}: no .py file under {project_dir} at {candidate['sha'][:10]}")
target = out_dir / candidate["id"]
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7 changes: 7 additions & 0 deletions MyIA.AI.Notebooks/QuantConnect/ML-Training-Pipeline/scripts/tests/test_shadow_replay.py
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Expand Up @@ -342,6 +342,13 @@ def test_plan_qc_extracts_frozen_files(qc_repo, tmp_path):
assert json.loads((target / "plan.json").read_text(encoding="utf-8")) == plan


def test_plan_qc_resolves_the_entrypoint_from_the_repo_root(qc_repo, tmp_path):
# Le README lance la commande depuis un sous-dossier, avec --repo a sa valeur par defaut.
candidate = _qc_candidate(sha=_git(qc_repo, "rev-parse", "HEAD"))
plan = plan_qc(qc_repo / "qcproj" / "lib", candidate, "2025-11-14", tmp_path / "plans")
assert sorted(f["name"] for f in plan["files"]) == ["lib/signals.py", "main.py"]
assert (tmp_path / "plans" / "qc-demo" / "files" / "main.py").read_text(encoding="utf-8") == QC_V1

def test_plan_qc_rejects_reserved_params_and_empty_project(qc_repo, tmp_path):
sha = _git(qc_repo, "rev-parse", "HEAD")
reserved = _frozen(id="qc-demo", kind="qc", sha=sha, frozen_on="2025-10-01",
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14 changes: 14 additions & 0 deletions MyIA.AI.Notebooks/QuantConnect/ML-Training-Pipeline/shadow/registry.json
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@@ -0,0 +1,14 @@
{
"candidates": [
{
"id": "mhm676",
"kind": "qc",
"sha": "bb7d7b61c5a48158d314693253c33b94a300cd35",
"frozen_on": "2026-10-05",
"entrypoint": "MyIA.AI.Notebooks/QuantConnect/projects/MultiHorizonMomentum676:37379584",
"params": {},
"fee_model": "modèle de frais par défaut de Lean pour ce courtier",
"fingerprint": "a8f44f3e52fc28d2"
}
]
}
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