codeant-ai-for-open-source[bot] commented on code in PR #45782:
URL: https://github.com/apache/superset/pull/45782#discussion_r4387679521


##########
superset/utils/csv.py:
##########
@@ -107,13 +108,27 @@ def escape_values(v: Any) -> Union[str, Any]:
     # even when the DataFrame has a non-default index (e.g. the flattened
     # MultiIndex produced by pivot_table_v2 post-processing). Pairing 
positional
     # indices with the label-based ``.at`` accessor would otherwise create
-    # phantom rows and corrupt the output. Only string cells are reassigned, so
-    # the dtype of mixed object columns (e.g. nullable integers) is preserved.
+    # phantom rows and corrupt the output. Numeric dtypes are left for pandas;
+    # object columns need explicit formatting to match streaming CSV exports.
+    decimal_separator = kwargs.get("decimal", ".")
     for name, column in df.items():
         if pd.api.types.is_string_dtype(column.dtype):
             for label, value in column.items():
                 if isinstance(value, str):
                     df.at[label, name] = escape_value(value)
+                elif isinstance(value, Decimal) and value.is_finite():
+                    # Preserve precision and scale without passing numeric text
+                    # through the string formula-prefix escaping path.
+                    df.at[label, name] = format_decimal(value).replace(
+                        ".", decimal_separator
+                    )

Review Comment:
   **Suggestion:** With duplicate row labels, `.at[label, name]` updates every 
matching row, so formatting one Decimal overwrites distinct values and corrupts 
the CSV.
   
   **Assessment:** ๐ŸŸ  `Major` ยท ๐Ÿ” `Occurrence: Rarely` ยท ๐Ÿท๏ธ `Logic error`
   
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   <details>
   <summary><b>Prompt for AI Agent ๐Ÿค– </b></summary>
   
   ```mdx
   This is a comment left during a code review.
   
   **Path:** superset/utils/csv.py
   **Line:** 122:124
   **Comment:**
        *Logic Error: With duplicate row labels, `.at[label, name]` updates 
every matching row, so formatting one Decimal overwrites distinct values and 
corrupts the CSV.
   
   Validate the correctness of the flagged issue. If correct, How can I resolve 
this? If you propose a fix, implement it and please make it concise.
   Once fix is implemented, also check other comments on the same PR, and ask 
user if the user wants to fix the rest of the comments as well. if said yes, 
then fetch all the comments validate the correctness and implement a minimal fix
   ```
   </details>
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