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121 lines
5.0 KiB
Python
121 lines
5.0 KiB
Python
from app import db, logger, socketio
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from app.events import connected_sessions
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from app.models import Corpus
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from flask import current_app, request
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from flask_login import current_user, login_required
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from .CQiWrapper.CQiWrapper import CQiWrapper
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'''
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' A dictionary containing lists of, with corpus ids associated, Socket.IO
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' session ids (sid). {<corpus_id>: [<sid>, ...], ...}
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'''
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corpus_analysis_sessions = {}
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'''
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' A dictionary containing Socket.IO session id - CQi client pairs.
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' {<sid>: CQiClient, ...}
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'''
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corpus_analysis_clients = {}
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@socketio.on('request_corpus_analysis')
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@login_required
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def request_corpus_analysis(corpus_id):
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corpus = Corpus.query.get(corpus_id)
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if corpus is None:
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socketio.emit('init_corpus_analysis', '[404]: Not Found',
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room=request.sid)
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elif not (corpus.creator == current_user
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or current_user.is_administrator()):
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socketio.emit('init_corpus_analysis', '[403]: Forbidden',
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room=request.sid)
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else:
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socketio.start_background_task(corpus_analysis_session_handler,
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current_app._get_current_object(),
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corpus_id, request.sid)
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@socketio.on('corpus_analysis')
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@login_required
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def corpus_analysis(message):
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client = corpus_analysis_clients.get(request.sid)
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if client is None:
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socketio.emit('query', '[424]: Failed Dependency',
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room=request.sid)
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return
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# Prepare and execute a query
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corpus_name = 'CORPUS'
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query = str(message['query'])
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result_len = 200
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context_len = int(message['context'])
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result_offset = 0
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client.select_corpus(corpus_name)
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try:
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client.query_subcorpus(query)
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except Exception as e:
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logger.warning(e)
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socketio.emit('corpus_analysis', str(e), room=request.sid)
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else:
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logger.warning('====== Initial query {} ======'.format(query))
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results = client.show_query_results(result_len=result_len,
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context_len=context_len,
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result_offset=result_offset)
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result_offset += result_len # initial offfset is plus result len because client.show_query_results has been already executed once
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socketio.emit('corpus_analysis', results, room=request.sid)
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while result_offset < client.match_count:
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logger.warning('====== While loop start for {} ======'.format(query))
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logger.warning('result_offset: {}'.format(result_offset))
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results = client.show_query_results(result_len=result_len,
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context_len=context_len,
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result_offset=result_offset)
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# results['matches'].extend(results_append['matches'])
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# results['cpos_lookup'].update(results_append['cpos_lookup'])
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# results['text_lookup'].update(results_append['text_lookup'])
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result_offset += result_len
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result_offset = min(result_offset, client.match_count)
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logger.warning('result_offset end of while loop: {}'.format(result_offset))
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socketio.emit('corpus_analysis', results, room=request.sid)
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@socketio.on('inspect_match')
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@login_required
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def inspect_match(message):
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client = corpus_analysis_clients.get(request.sid)
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if client is None:
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socketio.emit('query', '[424]: Failed Dependency',
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room=request.sid)
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return
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# Get more context for given match CPOS
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match_context = client.get_sentences(message['cpos'],
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get_surrounding_s=True,
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l_r_s_context_additional_len=3)
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socketio.emit('match_context', match_context, room=request.sid)
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def corpus_analysis_session_handler(app, corpus_id, session_id):
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with app.app_context():
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''' Setup analysis session '''
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corpus = Corpus.query.get(corpus_id)
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while corpus.status != 'analysing':
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db.session.refresh(corpus)
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socketio.sleep(3)
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client = CQiWrapper(host='corpus_{}_analysis'.format(corpus_id))
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client.connect()
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corpus_analysis_clients[session_id] = client
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if corpus_id not in corpus_analysis_sessions:
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corpus_analysis_sessions[corpus_id] = [session_id]
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else:
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corpus_analysis_sessions[corpus_id].append(session_id)
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socketio.emit('request_corpus_analysis', '[201]: Created',
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room=session_id)
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''' Observe analysis session '''
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while session_id in connected_sessions:
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socketio.sleep(3)
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''' Teardown analysis session '''
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client.disconnect()
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corpus_analysis_clients.pop(session_id, None)
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corpus_analysis_sessions[corpus_id].remove(session_id)
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if not corpus_analysis_sessions[corpus_id]:
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corpus_analysis_sessions.pop(corpus_id, None)
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corpus.status = 'stop analysis'
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db.session.commit()
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