Treat SQL-backed Django models as the source of truth for pobsync configuration, exporting runtime YAML only as a compatibility layer for the existing engine. Add a database-driven scheduler command, Docker scheduler services, schedule run-state fields, and tests for scheduler, config export, and retention behavior.
25 lines
843 B
Python
25 lines
843 B
Python
from __future__ import annotations
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from datetime import datetime, timezone
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from django.test import SimpleTestCase
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from pobsync.retention import Snapshot, build_retention_plan
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class RetentionTests(SimpleTestCase):
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def test_always_keeps_newest_snapshot(self) -> None:
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snapshots = [
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Snapshot("scheduled", "old", "/x/old", datetime(2026, 5, 18, tzinfo=timezone.utc), "success", None),
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Snapshot("scheduled", "new", "/x/new", datetime(2026, 5, 19, tzinfo=timezone.utc), "failed", None),
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]
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plan = build_retention_plan(
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snapshots,
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retention={"daily": 0, "weekly": 0, "monthly": 0, "yearly": 0},
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now=datetime(2026, 5, 19, tzinfo=timezone.utc),
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)
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self.assertEqual(plan.keep, {"new"})
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self.assertEqual(plan.reasons["new"], ["newest"])
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