feat: add PPAC candidate tab and status

2026-09-13 12:57:38 +08:00
parent e256d6fef1
commit 8444e3055e
10 changed files with 319 additions and 33 deletions
@@ -0,0 +1,55 @@
+"""Historical PPAC classification changes only matching cached check types."""
+
+from datetime import datetime, timezone
+from pathlib import Path
+
+import sqlalchemy as sa
+from alembic import command
+from alembic.config import Config
+from cryptography.fernet import Fernet
+
+
+def test_ppac_backfill_preserves_evidence_across_batches_and_downgrade(tmp_path, monkeypatch):
+    database = tmp_path / "ppac.db"
+    monkeypatch.setenv("DATABASE_URL", f"sqlite+aiosqlite:///{database}")
+    monkeypatch.setenv("ADMIN_PASSWORD", "migration-test-only")
+    monkeypatch.setenv("ENCRYPTION_KEY", Fernet.generate_key().decode())
+    monkeypatch.setenv("WQ_EMAIL", "")
+    monkeypatch.setenv("WQ_PASSWORD", "")
+    root = Path(__file__).resolve().parents[1]
+    config = Config(str(root / "alembic.ini"))
+    config.set_main_option("script_location", str(root / "migrations"))
+    command.upgrade(config, "0021")
+    engine = sa.create_engine(f"sqlite:///{database}")
+    alphas = sa.Table("alphas", sa.MetaData(), autoload_with=engine)
+    theme = {"name": "PURE_POWER_POOL_THEME", "result": "FAIL"}
+    other = {"name": "LOW_SHARPE", "result": "FAIL"}
+    patterns = [
+        ([theme], "FAIL_1", "PPAC_CANDIDATE"),
+        ([{**theme, "result": "fail"}, {"name": "REGULAR_SUBMISSION", "result": "FAIL"}], "FAIL_1", "PPAC_CANDIDATE"),
+        ([theme, other], "FAIL_2", "FAIL_2"),
+        ([theme, theme], "FAIL_2", "FAIL_2"),
+        ([other], "FAIL_1", "FAIL_1"),
+        ([{**theme, "result": "PASS"}], "PASS", "PASS"),
+        ([{**theme, "result": "WARNING"}], "PRE_CHECK", "PRE_CHECK"),
+        ([{}], "PENDING", "PENDING"),
+        (None, "PENDING", "PENDING"),
+    ]
+    with engine.begin() as db:
+        db.execute(alphas.insert(), [
+            {"id": f"ppac{i:04}", "status": "UNSUBMITTED", "hidden": False, "settings": {}, "os_metrics": {},
+             "is_metrics": {"checks": patterns[i % len(patterns)][0]}, "checks": patterns[i % len(patterns)][0],
+             "check_type": patterns[i % len(patterns)][1], "synced_at": datetime(2026, 9, 13, tzinfo=timezone.utc),
+             "raw": {"is": {"checks": patterns[i % len(patterns)][0]}}}
+            for i in range(503)
+        ])
+        original = db.execute(sa.select(alphas).order_by(alphas.c.id)).mappings().all()
+    for target, position in [("0022", 2), ("0021", 1), ("0022", 2)]:
+        (command.upgrade if target == "0022" else command.downgrade)(config, target)
+        with engine.connect() as db:
+            rows = db.execute(sa.select(alphas).order_by(alphas.c.id)).mappings().all()
+            assert len(rows) == 503
+            for i, row in enumerate(rows):
+                assert dict(row) == {**original[i], "check_type": patterns[i % len(patterns)][position]}
+    command.check(config)
+    engine.dispose()