Spark
5aa0c7d9a7
Modèles (chemin DB, migration 0.1.0, ordre, réconciliation), classification, client Gitea (pagination, en-tête, écritures), API (CSRF, write-back, codes d'erreur, 502 propre), auth Basic et fail-closed. Tous verts; pyflakes propre.
45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
"""Repo classification: rolling window + real archived flag (audit I1)."""
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from datetime import datetime, timedelta, timezone
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from app.main import classify_repos
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NOW = datetime(2026, 10, 11, tzinfo=timezone.utc)
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def _repo(name, updated, archived=False):
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return {
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"full_name": f"Projets/{name}",
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"updated_at": updated.strftime("%Y-%m-%dT%H:%M:%SZ"),
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"archived": archived,
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}
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def test_recent_repo_is_active():
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active, inactive, archived = classify_repos(
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[_repo("a", NOW - timedelta(days=2))], now=NOW
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)
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assert [r["full_name"] for r in active] == ["Projets/a"]
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assert inactive == [] and archived == []
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def test_old_repo_is_inactive_not_archived():
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active, inactive, archived = classify_repos(
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[_repo("a", NOW - timedelta(days=900))], now=NOW
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)
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assert inactive and not active and not archived
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def test_archived_flag_wins_even_if_recent():
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# 0.1.0 showed recently-touched archived repos as "active".
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active, inactive, archived = classify_repos(
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[_repo("a", NOW - timedelta(hours=1), archived=True)], now=NOW
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)
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assert archived and not active and not inactive
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def test_no_hardcoded_year_2027_still_works():
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future = datetime(2027, 1, 5, tzinfo=timezone.utc)
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active, _, _ = classify_repos([_repo("a", future - timedelta(days=3))], now=future)
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assert len(active) == 1
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