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72 lines
2.6 KiB
Python
72 lines
2.6 KiB
Python
from .models import Job, User, Corpus, CorpusFile
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from . import db
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import logging
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'''
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' A list of background process functions. Functions should be called using the
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Thread class from the module threading.
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'''
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def background_delete_user(app, current_user_id):
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with app.app_context():
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logger = logging.getLogger(__name__)
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logger.warning('Called by delete_thread.')
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logger.warning('User id is: {}.'.format(current_user_id))
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jobs = Job.query.filter_by(user_id=current_user_id).all()
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corpora = Corpus.query.filter_by(user_id=current_user_id).all()
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logger.warning('Jobs to delete are: {}'.format(jobs))
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user = User.query.get_or_404(current_user_id)
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for job in jobs:
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job.flag_for_stop()
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logger.warning('Job status: {}'.format(job.status))
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deleted = False
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while deleted is False:
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logger.warning('Refreshing')
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db.session.refresh(job)
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logger.warning('Refreshed')
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if job.status == 'deleted':
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logger.warning('Job status is deleted.')
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job.delete_job()
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deleted = True
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logger.warning('Job deletion loop has ended.')
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for corpus in corpora:
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corpus.delete_corpus()
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logger.warning('Corpus deletion loop has ended.')
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user.delete_user()
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def background_delete_job(app, job_id):
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logger = logging.getLogger(__name__)
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with app.app_context():
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logger.warning('Called by delete_thread.')
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logger.warning('Job id is: {}.'.format(job_id))
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job = Job.query.filter_by(id=job_id).first()
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logger.warning('Job object is: {}'.format(job))
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logger.warning('Job status: {}'.format(job.status))
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job.flag_for_stop()
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logger.warning('Job status: {}'.format(job.status))
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deleted = False
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while deleted is False:
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db.session.refresh(job)
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if job.status == 'deleted':
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logger.warning('Job status is deleted.')
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job.delete_job()
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deleted = True
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logger.warning('Loop has ended.')
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def background_delete_corpus(app, corpus_id):
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logger = logging.getLogger(__name__)
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with app.app_context():
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logger.warning('Called by delete_thread.')
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logger.warning('Corpus id is: {}.'.format(corpus_id))
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corpus = Corpus.query.filter_by(id=corpus_id).first()
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corpus.delete()
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def background_prepare_corpus_file(app, corpus_file_id):
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with app.app_context():
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corpus_file = CorpusFile.query.filter_by(id=corpus_file_id).first()
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