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


@app.cell
def _():
    # RESULTS_FILE = 'data/exports/OneDrive_2026-01-21/Soft Launch Data/JPMC_Chase Brand Personality_Quant Round 1_January 21, 2026_Soft Launch_Labels.csv'
    RESULTS_FILE = 'data/exports/OneDrive_1_1-16-2026/JPMC_Chase Brand Personality_Quant Round 1_TestData_Labels.csv'
    return (RESULTS_FILE,)


@app.cell
def _(Path, RESULTS_FILE, pl):
    results_file = Path(RESULTS_FILE)
    df = pl.read_csv(results_file, skip_rows=0)
    df
    return df, results_file


@app.cell
def _(df, pl, results_file):
    colset = set(df.columns)
    this_df_verify = pl.DataFrame({'column_names': [colset], 'results_file': results_file.as_posix()})
    this_df_verify
    return (this_df_verify,)


@app.cell
def _(Path, pl, this_df_verify):
    verification_record = Path('./data/exports/verification.csv')
    if verification_record.exists():
        verify_df = pl.read_csv(verification_record)

        verify_df = pl.concat([verify_df, this_df_verify], how='vertical')

        # save verify_df
        verify_df.write_csv(verification_record)
    
    else:
        verify_df = this_df_verify

    # append this_df_verify to verify_df
    verify_df
    return


@app.cell
def _():
    return


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