Import Reader module or pass Azure storage queried values in Batch Execution (BES) with python for retraining

Currently I have a machine learning model and I'm retraining it with Python BES code. I need to pass the input directly to the input parameters. It's accepting only CSV file (Or may be other files). I don't want to use any file. I have fetched the rows from database from python.

Is it possible to directly pass the queried values as input parameters?

I have read about the reader module but I cannot fine anything to use it with python BES code.

Any help is appreciated. Thanks

I have deployed the model through Azure machine learning studio (Classic) and Here is the code where the input payload is passed. I need to pass a python variable or the data returned from the storage table to this and not as CSV. Is it possible to achieve this?

    payload = {
        "Inputs": {
                "input1":
                {
                    "ConnectionString": connection_string,
                    "RelativeLocation": "/" + storage_container_name + "/filename.csv" # Replace this with the location you would like to use for your input file, and valid file extension (usually .csv)
                },
        },

        "Outputs": {
                "output2":
                {
                    "ConnectionString": connection_string,
                    "RelativeLocation": "/" + storage_container_name + "/filename.ilearner" # Replace this with the location you would like to use for your output file, and valid file extension (usually .csv for scoring results, or .ilearner for trained models)
                },
                "output1":
                {
                    "ConnectionString": connection_string,
                    "RelativeLocation": "/" + storage_container_name + "/filename.csv" # Replace this with the location you would like to use for your output file, and valid file extension (usually .csv for scoring results, or .ilearner for trained models)
                },
        },

    "GlobalParameters": {
    }
}