#! bin/bash

# file which contains model names we want to use for simulation
simulate_models="simulate_models.csv"

# selection of four scenes (only maxwell)
scenes="A, D, G, H"
VECTOR_SIZE=200

# selection of four scenes (only maxwell)
scenes="A, D, G, H"

for size in {"4","8","16","26","32","40"}; do

    # for feature in {"lab","mscn","low_bits_2","low_bits_3","low_bits_4","low_bits_5","low_bits_6","low_bits_4_shifted_2","ica_diff","svd_trunc_diff","ipca_diff","svd_reconstruct"}; do
    for feature in {"highest_sv_std_filters_full","lowest_sv_std_filters_full"}; do

        for nb_zones in {4,6,8,10,12}; do
            for mode in {"svd","svdn","svdne"}; do
                for model in {"svm_model","ensemble_model","ensemble_model_v2"}; do

                    FILENAME="data/${model}_N${size}_B0_E${size}_nb_zones_${nb_zones}_${feature}_${mode}"
                    MODEL_NAME="${model}_N${size}_B0_E${size}_nb_zones_${nb_zones}_${feature}_${mode}"
                    CUSTOM_MIN_MAX_FILENAME="N${size}_B0_E${size}_nb_zones_${nb_zones}_${feature}_${mode}_min_max"

                    echo $MODEL_NAME

                    # only compute if necessary (perhaps server will fall.. Just in case)
                    if grep -q "${MODEL_NAME}" "${simulate_models}"; then

                        echo "Run simulation for ${MODEL_NAME}..."

                        # Use of already generated model
                        # python generate/generate_data_model_random.py --output ${FILENAME} --interval "0,${size}" --kind ${mode} --feature ${feature} --scenes "${scenes}" --nb_zones "${nb_zones}" --percent 1 --renderer "maxwell" --step 40 --random 1 --custom ${CUSTOM_MIN_MAX_FILENAME}
                        # python train_model.py --data ${FILENAME} --output ${MODEL_NAME} --choice ${model}

                        python prediction/predict_seuil_expe_maxwell_curve.py --interval "0,${size}" --model "saved_models/${MODEL_NAME}.joblib" --mode "${mode}" --feature ${feature} --limit_detection '2' --custom ${CUSTOM_MIN_MAX_FILENAME}

                        python others/save_model_result_in_md_maxwell.py --interval "0,${size}" --model "saved_models/${MODEL_NAME}.joblib" --mode "${mode}" --feature ${feature}
                    fi
                done
            done
        done
    done
done