#!/bin/bash

#SBATCH --time=1:00:00   # walltime.  hours:minutes:seconds
#SBATCH --ntasks=8   # number of processor cores (i.e. tasks)
#SBATCH --nodes=1   # number of nodes
#SBATCH --gpus=1
#SBATCH --mem=80G   # 164G memory per CPU core
#SBATCH --mail-user=aw742@byu.edu   # email address
#SBATCH --mail-type=BEGIN
#SBATCH --mail-type=END
#SBATCH --mail-type=FAIL
#SBATCH --qos=cs
#SBATCH --partition=cs

# some helpful debugging options
set -e
set -u

# LOAD MODULES, INSERT CODE, AND RUN YOUR PROGRAMS HERE
# module load python/3.11

source ./mse_env/Scripts/activate

# python mse_text_img_process.py
# python convert_mse.py

# pip install jsonlines
# pip install deepeval

NUM_TEST_CASES=100

# python mse_ollama_run.py --num $NUM_TEST_CASES --test f --shot 0 --out_file metric_test_orig_100_f.txt
# echo "Test case faithfulness finished"

NUM_SHOT=1

# deepeval set-local-model --model-name Hudson/llemma:7b
# deepeval set-ollama Hudson/llemma:7b
# python mse_ollama_run.py --num $NUM_TEST_CASES --test ar --shot $NUM_SHOT --out_file metric_test_1_shot_100_ar.txt 
# echo "Test case answer relevancy finished"
python mse_ollama_run.py --num $NUM_TEST_CASES --test crec --shot $NUM_SHOT --out_file metric_test_1_shot_100_crec.txt
echo "Test case contexual recall finished"
python mse_ollama_run.py --num $NUM_TEST_CASES --test cp --shot $NUM_SHOT --out_file metric_test_1_shot_100_cp.txt
echo "Test case contextual precision finished"


NUM_SHOT=5
python mse_ollama_run.py --num $NUM_TEST_CASES --test ar --shot $NUM_SHOT --out_file metric_test_5_shot_100_ar.txt 
echo "Test case answer relevancy finished"
python mse_ollama_run.py --num $NUM_TEST_CASES --test crec --shot $NUM_SHOT --out_file metric_test_5_shot_100_crec.txt
echo "Test case contexual recall finished"
python mse_ollama_run.py --num $NUM_TEST_CASES --test cp --shot $NUM_SHOT --out_file metric_test_5_shot_100_cp.txt
echo "Test case contextual precision finished"


NUM_SHOT=10
python mse_ollama_run.py --num $NUM_TEST_CASES --test ar --shot $NUM_SHOT --out_file metric_test_10_shot_100_ar.txt 
echo "Test case answer relevancy finished"
python mse_ollama_run.py --num $NUM_TEST_CASES --test crec --shot $NUM_SHOT --out_file metric_test_10_shot_100_crec.txt
echo "Test case contexual recall finished"
python mse_ollama_run.py --num $NUM_TEST_CASES --test cp --shot $NUM_SHOT --out_file metric_test_10_shot_100_cp.txt
echo "Test case contextual precision finished"



# python mse_ollama_run.py --num $NUM_TEST_CASES --test crel --out_file metric_test_orig_100_crel.txt
# echo "Test case contextual relevancy finished"


# python mse_ollama_run.py --num $NUM_TEST_CASES --test f --out_file metric_test_orig_100_f.txt
# echo "Test case faithfulness finished"

# python mse_jsonl_resize.py

# python finetune.py