nopaque/app/corpora/events.py

from app import db, logger, socketio
from app.events import connected_sessions
from app.models import Corpus
from flask import current_app, request
from flask_login import current_user, login_required
from .CQiWrapper.CQiClient import CQiClient
from .CQiWrapper.CQi import CONST_FIELD_MATCH, CONST_FIELD_MATCHEND


'''
' A dictionary containing lists of, with corpus ids associated, Socket.IO
' session ids (sid). {<corpus_id>: [<sid>, ...], ...}
'''
analysis_sessions = {}
'''
' A dictionary containing Socket.IO session id - CQi client pairs.
' {<sid>: CQiClient, ...}
'''
analysis_clients = {}


@socketio.on('init_corpus_analysis')
@login_required
def init_corpus_analysis(corpus_id):
    corpus = Corpus.query.filter_by(id=corpus_id).first()
    if corpus is None:
        socketio.emit('init_corpus_analysis', '[ERROR 404]: Not Found',
                      room=request.sid)
    if not (corpus.creator == current_user or current_user.is_administrator()):
        socketio.emit('init_corpus_analysis', '[ERROR 403]: Forbidden',
                      room=request.sid)
    if str(corpus_id) not in analysis_sessions:
        analysis_sessions[str(corpus_id)] = [request.sid]
    socketio.start_background_task(observe_corpus_analysis_connection,
                                   current_app._get_current_object(),
                                   corpus_id, request.sid)


@socketio.on('query_event')
@login_required
def recv_query(message):
    logger.warning(message)
    analysis_client = analysis_clients[request.sid]
    """ Prepare and execute a query """
    corpus = 'CORPUS'
    query = '"and";'
    query_subcorpus = 'Results'
    analysis_client.cqp_query(corpus, query_subcorpus, query)
    """ Evaluate query results """
    match_corpus = '{}:{}'.format(corpus, query_subcorpus)
    match_num = analysis_client.cqp_subcorpus_size(match_corpus)
    match_num = min(19, match_num)
    if match_num == 0:
        print('No matches found.')
        exit()
    if not analysis_client.cqp_subcorpus_has_field(match_corpus, CONST_FIELD_MATCH):
        print('Error.')
        exit()
    if not analysis_client.cqp_subcorpus_has_field(match_corpus, CONST_FIELD_MATCHEND):
        print('Error')
        exit()
    match_boundaries = zip(analysis_client.cqp_dump_subcorpus(match_corpus, CONST_FIELD_MATCH, 0, match_num - 1),
                           analysis_client.cqp_dump_subcorpus(match_corpus, CONST_FIELD_MATCHEND, 0, match_num - 1))
    matches = []
    for match_start, match_end in match_boundaries:
        tokens = analysis_client.cl_cpos2str('{}.word'.format(corpus), range(match_start, match_end + 1))
        pos = analysis_client.cl_cpos2str('{}.pos'.format(corpus), range(match_start, match_end + 1))
        matches.append({'tokens': tokens, 'pos': pos})
    logger.warning(matches)


def observe_corpus_analysis_connection(app, corpus_id, session_id):
    with app.app_context():
        corpus = Corpus.query.filter_by(id=corpus_id).first()
        while corpus.status != 'analysing':
            db.session.refresh(corpus)
            socketio.sleep(3)
        analysis_client = CQiClient(host='{}_analysis_container{}'.format(corpus.creator.username, corpus.id), port=4877)
        analysis_client.ctrl_connect('opaque', 'opaque')
        analysis_clients[session_id] = analysis_client
        socketio.emit('init_corpus_analysis', 'Ready', room=session_id)
        while session_id in connected_sessions:
            '''
            try:
                analysis_client.ctrl_ping()
            except Exception as err:
                logger.warning('[Exception]: {}'.format(err))
                break
            else:
                socketio.sleep(3)
            '''
            socketio.sleep(3)
        analysis_client.ctrl_bye()
        analysis_clients.pop(session_id, None)
        analysis_sessions[str(corpus_id)].remove(session_id)
        if not analysis_sessions[str(corpus_id)]:
            analysis_sessions.pop(str(corpus_id), None)
            corpus.status = 'stop analysis'
            db.session.commit()