57 lines
1.5 KiB
Python
57 lines
1.5 KiB
Python
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import os
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import random
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import time
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from multiprocessing import Process
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import argparse
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from computation import Computation
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from sqlalchemy.orm import close_all_sessions
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import yaml
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def do_computation(c_db):
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exp = Computation(c_db)
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while 1:
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time.sleep(random.uniform(0, 10))
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is_all_done = exp.run()
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if is_all_done:
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break
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description='setting')
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parser.add_argument('--exp', type=str, default='test')
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parser.add_argument('--job', type=int, default='3')
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parser.add_argument('--reset_sample', type=int, default='0')
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parser.add_argument('--reset_db', type=bool, default=False)
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args = parser.parse_args()
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assert args.job >= 1, 'Number of jobs should >= 1'
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prefix_file_name = 'conf_db_prefix.yaml'
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if os.path.exists(prefix_file_name):
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os.remove(prefix_file_name)
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with open(prefix_file_name, 'w', encoding='utf-8') as file:
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yaml.dump({'db_name_prefix': args.exp}, file)
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from controller_db import ControllerDB
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controller_db = ControllerDB(args.exp, reset_flag=args.reset_sample)
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# controller_db.reset_db()
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# force drop
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controller_db.reset_db(force_drop=args.reset_db)
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controller_db.prepare_list_sample()
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close_all_sessions()
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process_list = []
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for i in range(int(args.job)):
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p = Process(target=do_computation, args=(controller_db,))
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p.start()
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process_list.append(p)
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for i in process_list:
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i.join()
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