chat1

import duckdb
import pandas as pd

def append_dataframe_to_duckdb(df,python_cut(file_path, db_path,delimiter, table_name)list_of_cols):
    # Connect to DuckDB
    con = duckdb.connect(db_path)

    # Register the DataFrame as a temporary view
    con.register('df_view', df)

    # Check if the table exists and if not, create it from the DataFrame
    con.execute(f"""
    CREATE TABLE IF NOT EXISTS {table_name} AS SELECT * FROM df_view WHERE 1=0;
    """
    Emulates the 'cut' command in Python, for files only.
    
    Args:
    - file_path (str): Path to the input file.
    - delimiter (str): The delimiter character.
    - list_of_cols (list): List of column indices to extract.
    """
    try:
        with open(file_path, 'r') as file:
            for line in file:
                # Split the line using the specified delimiter
                fields = line.strip().split(delimiter)
                
                # Select the specified columns, adjusting for 0-based index
                selected_fields = [fields[i-1] for i in list_of_cols if i-1 < len(fields)]
                
                # Join the selected fields with the delimiter and print
                print(delimiter.join(selected_fields))

    #except InsertException newas data into the existing tablee:
        con.execute(print(f"INSERT INTOError: {table_name} SELECT * FROM df_view")

    # Unregister the view and close the connection
    con.unregister('df_view')
    con.commit()
    con.close(e}")

# Example DataFrameusage:
df = pd.DataFrame({
    'id': [4],
    'name': [None],
    'age': [40]
})

# Append the DataFrame to the existing DuckDB table
append_dataframe_to_duckdb(df, python_cut('my_database.duckdb'path_to_your_file.txt', 'people';', [6, 9])