old_contents: from celery.task.schedules import crontab
  from celery.decorators import periodic_task
  from celery.utils.log import get_task_logger
  
  from app.business.statistics_business import StatisticsBusiness
  from app.collectors.matches_collector import MatchesCollector
  from app.collectors.patches_crawler import PatchesCrawler
  from app.learners.nntrainer import NNTrainer
  from app.repositories.patch_repository import PatchRepository
  
  logger = get_task_logger(__name__)
  
  @periodic_task(
      run_every=(crontab(minute='*/5')),
      name="collect Very High AP and RAP matches task",
  )
  def task_collect_very_high_ap_rap_matches():
      very_high_collector = MatchesCollector(3, ap=True, rap=True)
      matches_recorded = very_high_collector.collect_from_last_100()
  
  @periodic_task(
      run_every=(crontab(minute=0, hour='*/1')),
      name="update statistics related to the current patch",
  )
  def task_update_statistics():
      StatisticsBusiness(PatchRepository.fetch_current_patch()).update_statistics()
  
  @periodic_task(
      run_every=(crontab(minute=0, hour='*/6')),
      name="train the neural network for the current patch",
  )
  def task_train_nn_for_current_patch():
      nn_trainer = NNTrainer(PatchRepository.fetch_current_patch())
      training_result = nn_trainer.train()
      training_result.save()
  
  @periodic_task(
      run_every=(crontab(minute=0, hour=0)),
      name="sync Dota 2 patches",
  )
  def task_sync_dota2_patches():
      new_patches = PatchesCrawler.sync_patches();
  
new_contents: from celery.task.schedules import crontab
  from celery.decorators import periodic_task
  from celery.utils.log import get_task_logger
  
  from app.business.statistics_business import StatisticsBusiness
  from app.collectors.matches_collector import MatchesCollector
  from app.collectors.patches_crawler import PatchesCrawler
  from app.learners.nntrainer import NNTrainer
  from app.repositories.patch_repository import PatchRepository
  
  logger = get_task_logger(__name__)
  
  @periodic_task(
      run_every=(crontab(minute='*/5')),
      name="collect Very High AP and RAP matches task",
  )
  def task_collect_very_high_ap_rap_matches():
      very_high_collector = MatchesCollector(3, ap=True, rap=True)
      matches_recorded = very_high_collector.collect_from_last_100()
  
  @periodic_task(
      run_every=(crontab(minute=0, hour='*/1')),
      name="update statistics related to the current patch",
  )
  def task_update_statistics():
      StatisticsBusiness(PatchRepository.fetch_current_patch()).update_statistics()
  
  @periodic_task(
      run_every=(crontab(minute=0, hour='*/12')),
      name="train the neural network for the current patch",
  )
  def task_train_nn_for_current_patch():
      nn_trainer = NNTrainer(PatchRepository.fetch_current_patch())
      training_result = nn_trainer.train()
      training_result.save()
  
  @periodic_task(
      run_every=(crontab(minute=0, hour=0)),
      name="sync Dota 2 patches",
  )
  def task_sync_dota2_patches():
      new_patches = PatchesCrawler.sync_patches();
  
subject: change train taks to run every 12h