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). {: [, ...], ...} ''' analysis_sessions = {} ''' ' A dictionary containing Socket.IO session id - CQi client pairs. ' {: 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 = message['query'] 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(int(message['hits_per_page']) - 1, 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) socketio.emit('query_results', matches, room=request.sid) 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()