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48 changes: 48 additions & 0 deletions src/sempy_labs/semantic_model/_Fix_IsAvailableInMdx.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,48 @@
# Fix IsAvailableInMDX — standalone BPA fixer.
# Sets IsAvailableInMDX to False on non-attribute columns.

from typing import Optional
from uuid import UUID
from sempy._utils._log import log


@log
def fix_isavailable_in_mdx(
dataset: str | UUID,
workspace: Optional[str | UUID] = None,
scan_only: bool = False,
) -> int:
"""
Sets IsAvailableInMDX to False on columns where it is True.

Parameters
----------
dataset : str | UUID
Name or ID 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.

Returns
-------
int
Number of items fixed.
"""
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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")
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fixed += 1
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action = "Would fix" if scan_only else "Fixed"
print(f" {action} {fixed} column(s).")
return fixed
2 changes: 2 additions & 0 deletions src/sempy_labs/semantic_model/__init__.py
Original file line number Diff line number Diff line change
Expand Up @@ -6,10 +6,12 @@
from ._caching import (
enable_query_caching,
)
from ._Fix_IsAvailableInMdx import fix_isavailable_in_mdx

__all__ = [
"approved_for_copilot",
"set_endorsement",
"make_discoverable",
"enable_query_caching",
"fix_isavailable_in_mdx",
]
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