feat: 增加仅检查 MCP 工具并完善已提交 Alpha 指标展示

backend/migrations/versions/0013_submitted_correlation.py

@@ -0,0 +1,42 @@
+"""Backfill production correlation from saved IS metrics without platform calls."""
+
+import math
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "0013"
+down_revision = "0012"
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    table = sa.table("alphas", sa.column("id", sa.String()),
+                     sa.column("is_metrics", sa.JSON()), sa.column("prod_correlation", sa.Float()))
+    connection = op.get_bind()
+    last_id = None
+    while True:
+        query = sa.select(table.c.id, table.c.is_metrics).where(table.c.prod_correlation.is_(None)).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
+        for row in rows:
+            metrics = row["is_metrics"]
+            value = metrics.get("prodCorrelation") if isinstance(metrics, dict) else None
+            if value is None or isinstance(value, bool):
+                continue
+            try:
+                value = float(value)
+            except (TypeError, ValueError):
+                continue
+            if math.isfinite(value):
+                connection.execute(table.update().where(table.c.id == row["id"]).values(prod_correlation=value))
+        last_id = rows[-1]["id"]
+
+
+def downgrade():
+    # A data correction has no schema to undo; preserve recovered observations.
+    pass