pandas DataFrame to SQL Values

df_to_values.py

def df_to_values(df, name = 'tmp', first = True):
    template = "{name} as (select * from (values {values}) as t ({columns}))"
    if first: template = "with {}".format(template)
    
    names = df.columns
    values = df.values.tolist()
    
    rows = []
    for items in values:
        row = []
        for i in items:
            if isinstance(i, datetime.date):
                i = f"date('{i}') at time zone 'UTC'"
            elif isinstance(i, str):
                i = "'{}'".format(i)
            else:
                i = str(i)
            row.append(i)
        rows.append("""({})""".format(', '.join(row)))
    
    v = ', '.join(rows)
    c = ', '.join(names)
    r = template.format(values = v, columns = c, name = name)
    
    return r