[pbi-fixer] Add fix_isavailable_in_mdx: set IsAvailableInMDX=False on hidden columns

src/sempy_labs/semantic_model/_Fix_IsAvailableInMdx.py

@@ -0,0 +1,43 @@
+# Fix IsAvailableInMDX — standalone BPA fixer.
+# Sets IsAvailableInMDX to False on non-attribute columns.
+
+from typing import Optional
+from uuid import UUID
+
+
+def fix_isavailable_in_mdx(
+    dataset: str,
+    workspace: Optional[str | UUID] = None,
+    scan_only: bool = False,
+):
+    """
+    Sets IsAvailableInMDX to False on columns where it is True.
+
+    Parameters
+    ----------
+    dataset : str
+        Name of the semantic model.
+    workspace : str | uuid.UUID, default=None
+        The Fabric workspace name or ID.
+    scan_only : bool, default=False
+        If True, only reports what would be fixed without making changes.
+    """
+    from sempy_labs.tom import connect_semantic_model
+
+    fixed = 0
+    with connect_semantic_model(dataset=dataset, readonly=scan_only, workspace=workspace) as tom:
+        for table in tom.model.Tables:
+            for col in table.Columns:
+                if getattr(col, "IsAvailableInMDX", False):
+                    if scan_only:
+                        print(f"  Would fix: '{table.Name}'[{col.Name}] IsAvailableInMDX → False")
+                    else:
+                        col.IsAvailableInMDX = False
+                        print(f"  Fixed: '{table.Name}'[{col.Name}] IsAvailableInMDX → False")
+                    fixed += 1
+        if not scan_only and fixed > 0:
+            tom.model.SaveChanges()
+
+    action = "Would fix" if scan_only else "Fixed"
+    print(f"  {action} {fixed} column(s).")
+    return fixed

src/sempy_labs/semantic_model/__init__.py

@@ -13,3 +13,6 @@
     "make_discoverable",
     "enable_query_caching",
 ]
+
+from ._Fix_IsAvailableInMdx import fix_isavailable_in_mdx
+__all__ += ["fix_isavailable_in_mdx"]