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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def create_table_from_csv(form, table):
 """Uploads a csv file and creates a superset datasource in Hive."""

        def convert_to_hive_type(col_type):
            """maps tableschema's types to hive types"""
            tableschema_to_hive_types = {
                'boolean': 'BOOLEAN',
                'integer': 'INT',
                'number': 'DOUBLE',
                'string': 'STRING',
            }
            return tableschema_to_hive_types.get(col_type, 'STRING')

        bucket_path = config['CSV_TO_HIVE_UPLOAD_S3_BUCKET']

        if not bucket_path:
            logging.info('No upload bucket specified')
            raise Exception(
                'No upload bucket specified. You can specify one in the config file.')

        table_name = form.name.data
        schema_name = form.schema.data

        if config.get('UPLOADED_CSV_HIVE_NAMESPACE'):
            if '.' in table_name or schema_name:
                raise Exception(
                    "You can't specify a namespace. "
                    'All tables will be uploaded to the `{}` namespace'.format(
                        config.get('HIVE_NAMESPACE')))
            full_table_name = '{}.{}'.format(
                config.get('UPLOADED_CSV_HIVE_NAMESPACE'), table_name)
        else:
            if '.' in table_name and schema_name:
                raise Exception(
                    "You can't specify a namespace both in the name of the table "
                    'and in the schema field. Please remove one')

            full_table_name = '{}.{}'.format(
                schema_name, table_name) if schema_name else table_name

        filename = form.csv_file.data.filename

        upload_prefix = config['CSV_TO_HIVE_UPLOAD_DIRECTORY']
        upload_path = config['UPLOAD_FOLDER'] + \
            secure_filename(filename)

        # Optional dependency
        from tableschema import Table  # pylint: disable=import-error
        hive_table_schema = Table(upload_path).infer()
        column_name_and_type = []
        for column_info in hive_table_schema['fields']:
            column_name_and_type.append(
                '`{}` {}'.format(
                    column_info['name'],
                    convert_to_hive_type(column_info['type'])))
        schema_definition = ', '.join(column_name_and_type)

        # Optional dependency
        import boto3  # pylint: disable=import-error

        s3 = boto3.client('s3')
        location = os.path.join('s3a://', bucket_path, upload_prefix, table_name)
        s3.upload_file(
            upload_path, bucket_path,
            os.path.join(upload_prefix, table_name, filename))
        sql = f"""CREATE TABLE {full_table_name} ( {schema_definition} )
            ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS
            TEXTFILE LOCATION '{location}'
            tblproperties ('skip.header.line.count'='1')"""
        logging.info(form.con.data)
        engine = create_engine(form.con.data.sqlalchemy_uri_decrypted)
        engine.execute(sql)