| name | processing-data |
| description | Processes CSV files and pandas DataFrames. Use when working with CSV files, tabular data, spreadsheets, or when the user asks to query, analyze, or manipulate structured data. |
Data Processing Tools
Tools for working with CSV files and pandas DataFrames.
CSV Operations
List available CSV files
result = await list_csv_files()
# Returns: {"success": True, "data": ["file1", "file2"], "count": 2}
Read CSV content
result = await read_csv_file("mydata", row_limit=100)
# Returns rows as list of dicts
Query with SQL (DuckDB)
result = await query_csv_file("mydata", "SELECT * FROM mydata WHERE value > 10")
Security: Only SELECT queries allowed. INSERT, UPDATE, DELETE rejected.
Add/remove CSV files
await add_csv_file("/path/to/file.csv")
await remove_csv_file("filename")
Pandas Operations
Create DataFrame
# From CSV
result = await create_pandas_dataframe(
dataframe_name="sales",
create_using_function="read_csv",
function_parameters={"filepath_or_buffer": "data.csv"}
)
# From dict
result = await create_pandas_dataframe(
dataframe_name="mydf",
create_using_function="DataFrame",
function_parameters={"data": {"col1": [1, 2], "col2": [3, 4]}}
)
Allowed functions: DataFrame, read_csv, read_json, read_excel, read_parquet, read_feather, read_orc, read_html, read_xml, read_table, read_sql.
Run operations
# Get first rows
result = await run_dataframe_operation("sales", "head", {"n": 5})
# Filter data
result = await run_dataframe_operation("sales", "query", {"expr": "amount > 100"})
# Get statistics
result = await run_dataframe_operation("sales", "describe", {})
Allowed operations: head, tail, describe, query, filter, groupby, sort_values, mean, sum, count, and 100+ more safe operations.
Export DataFrame
result = await export_dataframe(
dataframe_name="sales",
export_function="to_csv",
export_parameters={"path_or_buf": "output.csv", "index": False}
)
Manage DataFrames
await list_dataframes() # List all in memory
await get_dataframe_info("sales") # Get details
await delete_dataframe("sales") # Remove from memory
Security Notes
- CSV queries: Only SELECT statements allowed
- Pandas: Operations restricted to allowlist of safe methods
- No arbitrary code execution via getattr