nopaque/app/services/views.py

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from datetime import datetime
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from flask import current_app, flash, redirect, render_template, url_for
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from . import services
from flask_login import current_user, login_required
from .forms import OCRJobForm
from ..import swarm
from threading import Thread
import hashlib
import os
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@services.route('/ocr', methods=['GET', 'POST'])
@login_required
def ocr():
ocr_job_form = OCRJobForm()
if ocr_job_form.validate_on_submit():
app = current_app._get_current_object()
id = hashlib.md5(
(current_user.username + '_' + datetime.now().isoformat()).encode()
).hexdigest()
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dir = os.path.join(app.config['OPAQUE_FILES'], 'jobs', id)
try:
os.mkdir(dir)
except FileExistsError:
# Possible MD5 hash collision occurred.
flash('Internal error occurred, please try again!')
else:
file = ocr_job_form.file.data
file.save(os.path.join(dir, file.filename))
'''
' TODO: Implement a Job class. For now a dictionary representation
' is enough.
'''
job = {'worker': None,
'creator': current_user.id,
'id': id,
'requested_cpus': 2,
'requested_memory': 2048,
'service': 'ocr',
'service_args': {'lang': ocr_job_form.language.data,
'version': 'latest'
},
'status': 'queued'
}
'''
' TODO: Let the scheduler run this job in the background.
'
' NOTE: Using self created threads is just for testing purpose as
' there is no scheduler available.
'''
thread = Thread(target=swarm.run, args=(job,))
thread.start()
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return redirect(url_for('services.ocr'))
return render_template(
'services/ocr.html.j2',
title='Optical Character Recognition',
ocr_job_form=ocr_job_form
)