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https://gitlab.ub.uni-bielefeld.de/sfb1288inf/nopaque.git
synced 2024-11-15 01:05:42 +00:00
Add NLP view.
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ab688e290a
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@ -24,7 +24,7 @@ class NewOCRJobForm(FlaskForm):
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],
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validators=[DataRequired()]
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)
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submit = SubmitField('Create OCR job')
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submit = SubmitField('Submit')
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title = StringField(
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'Title',
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validators=[DataRequired(), Length(1, 32)]
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@ -64,7 +64,7 @@ class NewNLPJobForm(FlaskForm):
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],
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validators=[DataRequired()]
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)
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submit = SubmitField('Create OCR job')
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submit = SubmitField('Submit')
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title = StringField(
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'Title',
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validators=[DataRequired(), Length(1, 32)]
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@ -2,7 +2,7 @@ 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
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from flask_login import current_user, login_required
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from .forms import NewOCRJobForm
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from .forms import NewOCRJobForm, NewNLPJobForm
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from ..import swarm
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from threading import Thread
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import hashlib
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@ -57,3 +57,53 @@ def ocr():
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title='Optical Character Recognition',
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new_ocr_job_form=new_ocr_job_form
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)
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@services.route('/nlp', methods=['GET', 'POST'])
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@login_required
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def nlp():
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new_nlp_job_form = NewNLPJobForm()
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if new_nlp_job_form.validate_on_submit():
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app = current_app._get_current_object()
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id = hashlib.md5(
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(current_user.username + '_' + datetime.now().isoformat()).encode()
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).hexdigest()
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'''
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' TODO: Implement a Job class. For now a dictionary representation
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' is enough.
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'''
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job = {'creator': current_user.id,
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'id': id,
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'requested_cpus': 2,
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'requested_memory': 2048,
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'service': 'nlp',
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'service_args': {'lang': new_nlp_job_form.language.data,
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'version': new_nlp_job_form.version.data
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},
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'status': 'queued'
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}
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dir = os.path.join(app.config['OPAQUE_STORAGE'], 'jobs', id)
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try:
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os.makedirs(dir)
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except OSError:
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flash('OSError!')
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else:
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for file in new_nlp_job_form.files.data:
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file.save(os.path.join(dir, file.filename))
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'''
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' TODO: Let the scheduler run this job in the background.
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'
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' NOTE: Using self created threads is just for testing purpose as
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' there is no scheduler available.
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'''
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thread = Thread(target=swarm.run, args=(job,))
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thread.start()
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flash('Job created!')
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return redirect(url_for('services.nlp'))
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return render_template(
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'services/nlp.html.j2',
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title='Natrual Language Processing',
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new_nlp_job_form=new_nlp_job_form
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)
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