import marimo

__generated_with = "0.19.2"
app = marimo.App(width="medium")


@app.cell
def _():
    import marimo as mo
    import polars as pl
    import sqlite3
    from pathlib import Path
    return Path, pl, sqlite3


@app.cell
def _(Path, pl):
    results_file = Path('./data/VB_Qualtrics_labels.csv')
    df = pl.read_csv(results_file, skip_rows=0)
    df
    return (df,)


@app.cell
def _(df, sqlite3):

    # Create table if not exists with columns from csv
    with sqlite3.connect("data/qualtrics_JP.db") as conn:
        # interact with database
        q= f'''
        CREATE TABLE IF NOT EXISTS qualtrics_raw(
            {', '.join(list(df.columns))}
        );
        '''
        print(q)
        conn.execute(q)
    return


@app.cell
def _():
    import sqlalchemy

    DATABASE_URL = "sqlite:///./data/qualtrics_JP.db"
    engine = sqlalchemy.create_engine(DATABASE_URL)
    return


if __name__ == "__main__":
    app.run()