feat: 分离 Alpha 检查与提交限制，优化检查统计与前端展示

backend/migrations/versions/0018_submission_limit_classification.py

@@ -0,0 +1,55 @@
+"""Reclassify cached Alpha checks without changing upstream evidence."""
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "0018"
+down_revision = "0017"
+branch_labels = None
+depends_on = None
+
+
+def check_type(checks, separate_limits):
+    """Frozen classification for reversible data migration; never import mutable app code."""
+    checks = checks if isinstance(checks, list) else []
+    if separate_limits:
+        checks = [c for c in checks if not (isinstance(c, dict) and c.get("name") == "REGULAR_SUBMISSION")]
+    valid = [c for c in checks if isinstance(c, dict)]
+    failures = sum(c.get("result") == "FAIL" for c in valid)
+    if failures:
+        return "FAIL_1" if failures == 1 else "FAIL_2"
+    if not checks or len(valid) != len(checks) or any(c.get("result") != "PASS" for c in valid):
+        return "PENDING"
+    return "PASS" if any(c.get("name") == "PROD_CORRELATION" for c in valid) else "PRE_CHECK"
+
+
+def reclassify(separate_limits):
+    """Update only affected derived columns, in bounded batches; raw snapshots stay intact."""
+    table = sa.table("alphas", sa.column("id", sa.String()), sa.column("checks", sa.JSON()),
+                     sa.column("check_type", sa.String()))
+    connection = op.get_bind()
+    last_id = None
+    while True:
+        query = sa.select(table.c.id, table.c.checks).order_by(table.c.id).limit(500)
+        if last_id is not None:
+            query = query.where(table.c.id > last_id)
+        rows = connection.execute(query).mappings().all()
+        if not rows:
+            break
+        updates = [
+            {"snapshot_id": row["id"], "classification": check_type(row["checks"], separate_limits)}
+            for row in rows if isinstance(row["checks"], list) and any(
+                isinstance(c, dict) and c.get("name") == "REGULAR_SUBMISSION" for c in row["checks"])
+        ]
+        if updates:
+            connection.execute(table.update().where(table.c.id == sa.bindparam("snapshot_id"))
+                               .values(check_type=sa.bindparam("classification")), updates)
+        last_id = rows[-1]["id"]
+
+
+def upgrade():
+    reclassify(True)
+
+
+def downgrade():
+    reclassify(False)