from datetime import datetime
from flask import current_app, flash, redirect, render_template, url_for
from . import services
from flask_login import current_user, login_required
from .forms import NewOCRJobForm, NewNLPJobForm
from ..import swarm
from threading import Thread
import hashlib
import os


@services.route('/ocr', methods=['GET', 'POST'])
@login_required
def ocr():
    new_ocr_job_form = NewOCRJobForm()
    if new_ocr_job_form.validate_on_submit():
        app = current_app._get_current_object()
        id = hashlib.md5(
            (current_user.username + '_' + datetime.now().isoformat()).encode()
        ).hexdigest()
        '''
        ' TODO: Implement a Job class. For now a dictionary representation
        '       is enough.
        '''
        job = {'creator': current_user.id,
               'id': id,
               'requested_cpus': 2,
               'requested_memory': 2048,
               'service': 'ocr',
               'service_args': {'lang': new_ocr_job_form.language.data,
                                'version': new_ocr_job_form.version.data
                                },
               'status': 'queued'
               }
        dir = os.path.join(app.config['OPAQUE_STORAGE'], 'jobs', id)

        try:
            os.makedirs(dir)
        except OSError:
            flash('OSError!')
        else:
            for file in new_ocr_job_form.files.data:
                file.save(os.path.join(dir, file.filename))
            '''
            ' 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()
            flash('Job created!')
        return redirect(url_for('services.ocr'))

    return render_template(
        'services/ocr.html.j2',
        title='Optical Character Recognition',
        new_ocr_job_form=new_ocr_job_form
    )


@services.route('/nlp', methods=['GET', 'POST'])
@login_required
def nlp():
    new_nlp_job_form = NewNLPJobForm()
    if new_nlp_job_form.validate_on_submit():
        app = current_app._get_current_object()
        id = hashlib.md5(
            (current_user.username + '_' + datetime.now().isoformat()).encode()
        ).hexdigest()
        '''
        ' TODO: Implement a Job class. For now a dictionary representation
        '       is enough.
        '''
        job = {'creator': current_user.id,
               'id': id,
               'requested_cpus': 2,
               'requested_memory': 2048,
               'service': 'nlp',
               'service_args': {'lang': new_nlp_job_form.language.data,
                                'version': new_nlp_job_form.version.data
                                },
               'status': 'queued'
               }
        dir = os.path.join(app.config['OPAQUE_STORAGE'], 'jobs', id)

        try:
            os.makedirs(dir)
        except OSError:
            flash('OSError!')
        else:
            for file in new_nlp_job_form.files.data:
                file.save(os.path.join(dir, file.filename))
            '''
            ' 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()
            flash('Job created!')
        return redirect(url_for('services.nlp'))

    return render_template(
        'services/nlp.html.j2',
        title='Natrual Language Processing',
        new_nlp_job_form=new_nlp_job_form
    )