from slurm_utils import create_and_submit_batch_job
from datetime import datetime
import os
from pathlib import Path
import argparse

PROJECT_ROOT = Path(os.path.realpath(__file__)).parents[1]

parser = argparse.ArgumentParser()
parser.add_argument('--interactive', action='store_true')
parser.add_argument('--platform', type=str)
args = parser.parse_args()
# DATA_DIR = 'uspto_full'
SCRIPT_DIR = 'scripts'
platform = args.platform

if platform == 'puhti' or platform == 'mahti':
    project = 'project_2007775'
    partition = 'gpu'
    with_containers = False
    puhti_module = 'pytorch/2.4'
    venv_path = '/projappl/project_2007775/syntheseus-python-10'
    container = None
elif platform == 'mahti':
    project = 'project_2007775'
    partition = 'gpusmall'
    with_containers = False
    puhti_module = 'pytorch/2.4'
    venv_path = '/projappl/project_2007775/syntheseus-python-10'
    container = None
elif platform == 'lumi':
    SCRIPT_DIR = 'scripts'
    platform = 'lumi'
    project = 'project_462000833'
    partition = 'small-g'
    with_containers = True
    container = 'multiguide-lumi.sif'
    venv_path = 'multiguide-lumi-container'
    puhti_module = None
else:
    raise ValueError(f'Platform {platform} not supported')

slurm_args = {
    'job_dir': 'jobs',
    'job_ids_file': 'job_ids.txt',
    'output_dir': 'output',
    'platform': platform,
    'project': project,
    'time': '10:00:00',
    'partition': partition,
    'nodes': 1,
    'ntasks-per-node': 1,
    'cpus-per-task': 1,
    'gpus-per-node': 1,
    'mem': '100G', # 50G not enough for uspto_full
    'with_containers': with_containers,
    'container': container,
    'venv_path': venv_path,
    'puhti_module': puhti_module,
    'start_array_job': 0, # 5 to 37
    'end_array_job': 0 #37
}
time_stamp = datetime.now().strftime("%Y%m%d_%H%M%S")
# NOTE: here should not modify any of the hydra configs manually...
# NOTE: unless maybe running ablations in a loop. For now define all configurations of params as experiment files.
experiment_name = f'50k_syntheseus_time{time_stamp}' 

script_args = {"script_dir": SCRIPT_DIR,
                "use_torchrun": 'false',
                "args": {
                    "single_step_model.model_dir": "rsmiles_50k_checkpoints",
                    "single_step_model.default_num_results": 100
                },
                "variables": {}
             }
script_args['script_name'] = 'evaluate_single_step_with_guidance.py'
task = 'evaluate_single_step_with_guidance_50k'
slurm_args['job_name'] = experiment_name
output = create_and_submit_batch_job(slurm_args, script_args, interactive=args.interactive)
